Serialized Form

Package boofcv.abst.disparity

Class boofcv.abst.disparity.ConfigSpeckleFilter

class ConfigSpeckleFilter extends Object implements Serializable

Serialized Fields

maximumArea

ConfigLength maximumArea

The maximum area (in pixels) for a region to be filtered. If relative, then it's relative to width*height

similarTol

float similarTol

How similar two pixel values need to be for them to be considered connected

Package boofcv.abst.distort

Class boofcv.abst.distort.ConfigDeformPointMLS

class ConfigDeformPointMLS extends Object implements Serializable

Serialized Fields

alpha

float alpha

Used to tune distance function

cols

int cols

Number of columns in precomputed distortion grd

rows

int rows

Number of rows in precomputed distortion grd

type

TypeDeformMLS type

Deformation model it should use

Package boofcv.abst.feature.describe

Class boofcv.abst.feature.describe.ConfigBrief

class ConfigBrief extends Object implements Serializable

Serialized Fields

blurRadius

int blurRadius

Amount of blur applied to the image before sampling. Typical value is 4

blurSigma

double blurSigma

Amount of blur applied to the image before sampling. Typical value is -1

fixed

boolean fixed

If true then a fixed sized descriptor is used. If false then orientation and scale information is used, if available. By default this is true.

numPoints

int numPoints

Number of points sampled. Typical value is 512.

radius

int radius

Region's radius. Typical value is 16.

Class boofcv.abst.feature.describe.ConfigSiftDescribe

class ConfigSiftDescribe extends Object implements Serializable

Serialized Fields

maxDescriptorElementValue

double maxDescriptorElementValue

Maximum fraction a single element can have in descriptor. Helps with non-affine changes in lighting. See paper.

numHistogramBins

int numHistogramBins

Number of histogram bins.

sigmaToPixels

double sigmaToPixels

Conversion of sigma to pixels. Used to scale the descriptor sample region's width.

weightingSigmaFraction

double weightingSigmaFraction

Sigma for Gaussian weighting function is set to this value * region width.

widthGrid

int widthGrid

Width of grid in subregions.

widthSubregion

int widthSubregion

Width of sub-region in samples.

Class boofcv.abst.feature.describe.ConfigSiftScaleSpace

class ConfigSiftScaleSpace extends Object implements Serializable

Serialized Fields

firstOctave

int firstOctave

Specified the first and last octaves. Each octave is a factor of 2 smaller or larger than the input image. The overall size of an octave relative to the input image is pow(2,-octave). For best results sets first octave to -1, but this is very slow so 0 is used instead

lastOctave

int lastOctave

Specified the first and last octaves. Each octave is a factor of 2 smaller or larger than the input image. The overall size of an octave relative to the input image is pow(2,-octave). For best results sets first octave to -1, but this is very slow so 0 is used instead

numScales

int numScales

Number of scales in each octave. The amount of Gaussian blur will double this number of images in the octave. However, the number of actual images computed will be numScales + 3 and the number of difference of Guassian images will be numScales + 2.

sigma0

float sigma0

Amount of blur at the first level in the image pyramid. Paper recommends 1.6, but 2.75 was found to yield better results in a larger test set.

Class boofcv.abst.feature.describe.ConfigSurfDescribe

class ConfigSurfDescribe extends Object implements Serializable

Serialized Fields

useHaar

boolean useHaar

If true the Haar wavelet will be used. If false means image gradient.

widthLargeGrid

int widthLargeGrid

Number of sub-regions wide the large grid is. Typically 4

widthSample

double widthSample

The width of a sample point in pixels. Used to scale the descriptor sample region's width. Typically 3

widthSubRegion

int widthSubRegion

Number of sample points wide a sub-region is. Typically 5

Class boofcv.abst.feature.describe.ConfigSurfDescribe.Fast

class Fast extends ConfigSurfDescribe implements Serializable

Serialized Fields

weightSigma

double weightSigma

Weighting factor's sigma. Try 4.5

Class boofcv.abst.feature.describe.ConfigSurfDescribe.Stability

class Stability extends ConfigSurfDescribe implements Serializable

Serialized Fields

overLap

int overLap

Number of sample points sub-regions overlap, Typically 2.

sigmaLargeGrid

double sigmaLargeGrid

Sigma used to weight points in the sub-region grid. Typically 2.5

sigmaSubRegion

double sigmaSubRegion

Sigma used to weight points in the large grid. Typically 2.5

Class boofcv.abst.feature.describe.ConfigTemplateDescribe

class ConfigTemplateDescribe extends Object implements Serializable

Serialized Fields

height

int height

The region's height.

type

ConfigTemplateDescribe.Type type

The type of descriptor. Not all error types can be used with all descriptors.

width

int width

The region's width

Package boofcv.abst.feature.detdesc

Class boofcv.abst.feature.detdesc.ConfigCompleteSift

class ConfigCompleteSift extends Object implements Serializable

Serialized Fields

describe

ConfigSiftDescribe describe

detector

ConfigSiftDetector detector

orientation

ConfigSiftOrientation orientation

scaleSpace

ConfigSiftScaleSpace scaleSpace

Package boofcv.abst.feature.detect.extract

Class boofcv.abst.feature.detect.extract.ConfigExtract

class ConfigExtract extends Object implements Serializable

Serialized Fields

detectMaximums

boolean detectMaximums

If true then local maximums will be found

detectMinimums

boolean detectMinimums

If false then local maximums will be found

ignoreBorder

int ignoreBorder

Size of border around the image in which pixels are not considered. Default is 0.

radius

int radius

Search radius of the non-maximum region. Most common value is 1 for a 3x3 region. Default is 1.

threshold

float threshold

Minimum feature intensity it will consider when detecting a maximum. For local minimums it will use a value of -threshold. Defaults to 0.

useStrictRule

boolean useStrictRule

Is a strict test used to test for local maximums. If strict the local maximum must be greater than all its neighbors, otherwise it just needs to be greater than or equal to its neighbors. Default is true.

Package boofcv.abst.feature.detect.interest

Class boofcv.abst.feature.detect.interest.ConfigFastCorner

class ConfigFastCorner extends Object implements Serializable

Serialized Fields

minContinuous

int minContinuous

Minimum number of pixels around the circle that are required to be a corner. Can be 9 to 12

pixelTol

int pixelTol

How different pixels need to be considered part of a corner. Image dependent. Try 20 to start.

Class boofcv.abst.feature.detect.interest.ConfigFastHessian

class ConfigFastHessian extends Object implements Serializable

Serialized Fields

extract

ConfigExtract extract

Configuration for non-maximum thresholding

initialSampleStep

int initialSampleStep

How often pixels are sampled in the first octave. Typically 1 or 2.

initialSize

int initialSize

Typically 9.

maxFeaturesAll

int maxFeaturesAll

Maximum number of features it will return in total. If ≤ 0 then it will have no limit.

maxFeaturesPerScale

int maxFeaturesPerScale

The maximum number of features it can detect in a single scale. Useful if you want to prevent high frequency features from dominating. If ≤ 0 then it will have no limit.

numberOfOctaves

int numberOfOctaves

Typically 4.

numberScalesPerOctave

int numberScalesPerOctave

Typically 4.

scaleStepSize

int scaleStepSize

Increment between kernel sizes as it goes up in scale. In some data sets, increasing this value beyound the default value results in an improvement in stability. Default 6

selector

ConfigSelectLimit selector

Approach used to select features when more than the maximum have been detected

Class boofcv.abst.feature.detect.interest.ConfigGeneralDetector

class ConfigGeneralDetector extends ConfigExtract implements Serializable

Serialized Fields

maxFeatures

int maxFeatures

Specifies the maximum number of features it will detect. If a value is specified then the 'maxFeatures' most intense features are returned. Set to a value ≤ 0 to return all selected features. Default is -1.

selector

ConfigSelectLimit selector

Specifies how the features are selected if more than ConfigGeneralDetector.maxFeatures have been detected

Class boofcv.abst.feature.detect.interest.ConfigHarrisCorner

class ConfigHarrisCorner extends Object implements Serializable

Serialized Fields

kappa

double kappa

Tuning parameter, typically a small number around 0.04

radius

int radius

Radius of the kernel.

weighted

boolean weighted

If true a Gaussian kernel will be used. False runs much faster but selects a different location. Application specific which one is preferred. False is more commonly used.

Class boofcv.abst.feature.detect.interest.ConfigPointDetector

class ConfigPointDetector extends Object implements Serializable

Serialized Fields

fast

ConfigFastCorner fast

Configuration only used with FAST

general

ConfigGeneralDetector general

Configurations common to all point detectors

harris

ConfigHarrisCorner harris

Configuration only used with Harris

scaleRadius

double scaleRadius

If a scale-invariant descriptor is used this specified what radius/scale the returned point feature will specify.

shiTomasi

ConfigShiTomasi shiTomasi

Configuration only used with Shi-Tomasi

type

PointDetectorTypes type

Which detector is used.

Class boofcv.abst.feature.detect.interest.ConfigShiTomasi

class ConfigShiTomasi extends Object implements Serializable

Serialized Fields

radius

int radius

Radius of the kernel convolved across the image. Larger values act as a low pass filter. 2 or more is recommended but 1 is default for backwards compatibility.

weighted

boolean weighted

If true a Gaussian kernel will be used otherwise a table/block filter is used. False runs much faster but selects a different location. Application specific which one is preferred. False is more commonly used.

Class boofcv.abst.feature.detect.interest.ConfigSiftDetector

class ConfigSiftDetector extends Object implements Serializable

Serialized Fields

edgeR

double edgeR

Threshold used to remove edge responses. Larger values means its less strict. Try 10

extract

ConfigExtract extract

Configures non-maximum feature detector across the image

maxFeaturesAll

int maxFeaturesAll

Maximum number of features it will return in total. If ≤ 0 then it will have no limit.

maxFeaturesPerScale

int maxFeaturesPerScale

The maximum number of features it can detect in a single scale. Useful if you want to prevent high frequency features from dominating. If ≤ 0 then it will have no limit.

selector

ConfigSelectLimit selector

Approach used to select features when more than the maximum have been detected

Package boofcv.abst.feature.orientation

Class boofcv.abst.feature.orientation.ConfigAverageIntegral

class ConfigAverageIntegral extends Object implements Serializable

Serialized Fields

objectRadiusToScale

double objectRadiusToScale

How to convert the radius to the internal canonical scale. Can be used to adjust how big or small the region is.

radius

int radius

Radius of the region being considered in terms of samples. Typically 6.

samplePeriod

double samplePeriod

How often the image is sampled. This number is scaled. Typically 1.

sampleWidth

int sampleWidth

How wide of a kernel should be used to sample. Try 6

weightSigma

double weightSigma

Sigma for weighting. zero for unweighted. less than zero for automatic. Try -1.

Class boofcv.abst.feature.orientation.ConfigOrientation2

class ConfigOrientation2 extends Object implements Serializable

Serialized Fields

averageIntegral

ConfigAverageIntegral averageIntegral

slidingIntegral

ConfigSlidingIntegral slidingIntegral

type

ConfigOrientation2.Type type

Class boofcv.abst.feature.orientation.ConfigSiftOrientation

class ConfigSiftOrientation extends Object implements Serializable

Serialized Fields

histogramSize

int histogramSize

Number of elements in the histogram. Standard is 36

sigmaEnlarge

double sigmaEnlarge

How much the scale is enlarged by. Standard is 2.0

Class boofcv.abst.feature.orientation.ConfigSlidingIntegral

class ConfigSlidingIntegral extends Object implements Serializable

Serialized Fields

objectRadiusToScale

double objectRadiusToScale

How to convert the radius to the internal canonical scale. Can be used to adjust how big or small the region is.

radius

int radius

Radius of the region being considered in terms of samples. Typically 8.

samplePeriod

double samplePeriod

How often the image is sampled. This number is scaled. Typically 0.65.

sampleWidth

int sampleWidth

Size of kernel doing the sampling. Typically 6.

weightSigma

double weightSigma

Sigma for weighting distribution. 0 for unweighted. less than zero for automatic. Try -1

windowSize

double windowSize

Angular window that is slide across. Try PI/3

Package boofcv.abst.fiducial.calib

Class boofcv.abst.fiducial.calib.ConfigChessboardBinary

class ConfigChessboardBinary extends Object implements Serializable

Serialized Fields

maximumCornerDistance

ConfigLength maximumCornerDistance

The maximum distance in pixels that two corners can be from each other. In well focused image this number can be only a few pixels. The default value has been selected to handle blurred images. If relative it is relative to min(image.width,image.height)

square

ConfigPolygonDetector square

Configuration for square detector. NOTE: Number of sides, clockwise, and convex are all set by the detector in its constructor. Values specified here are ignored.

thresholding

ConfigThreshold thresholding

Configuration for thresholding the image

Class boofcv.abst.fiducial.calib.ConfigChessboardX

class ConfigChessboardX extends Object implements Serializable

Serialized Fields

connAmbiguousTol

double connAmbiguousTol

Ratio used to decide if two corners are spatially close enough to each other to be considered as the same corner.

connDirectionTol

double connDirectionTol

How similar the direction of two corners relative to each other need to be. 0 to 1. Higher is more tolerant

connEdgeThreshold

double connEdgeThreshold

Relative threshold for two corners being connected. The edge between them must have sufficient intensity. The definition of sufficient is based on the contrast of the two x-corners.

connMaxNeighborDistance

double connMaxNeighborDistance

Maximum search distance for nearest neighbor search. Units = pixels.

connMaxNeighbors

int connMaxNeighbors

Maximum number of neighbors returned by nearest neighbor search

connOrientationTol

double connOrientationTol

How similar two corner orientations need to be

detNonMaxRadius

int detNonMaxRadius

Size of a corner in the corner detector. 1 is recommended in general. 2 or higher can be used to run faster if the image quality and the apparent target size is large.

detNonMaxThresholdRatio

double detNonMaxThresholdRatio

Non-maximum threshold relative to maximum x-corner intensity. 0 to 1, inclusive

detPyramidTopSize

int detPyramidTopSize

The minimum allowed size for the top most layer in the pyramid. size = min(width,height). To have only one layer in the pyramid at the same resolution as the input set this to a value of ≤ 0

detRefinedXCornerThreshold

double detRefinedXCornerThreshold

After the initial candidate x-corners have been found a more accurate x-corner intensity is computed which doesn't compromise as much for speed. If the refined intensity is less than this value it will be discarded.

gridRequireCornerSquares

boolean gridRequireCornerSquares

If true then a chessboard has to have at least one square which is connected to only one other square. BoofCV's calibration targets requirements this. Other projects might not.

Class boofcv.abst.fiducial.calib.ConfigCircleHexagonalGrid

class ConfigCircleHexagonalGrid extends Object implements Serializable

Serialized Fields

edgeIntensitySimilarityTolerance

double edgeIntensitySimilarityTolerance

How similar edge intensity between two ellipses need to be. 0 to 1.0. 1.0 = perfect match

ellipse

ConfigEllipseDetector ellipse

Configuration for the ellipse detector

ellipseSizeSimilarity

double ellipseSizeSimilarity

How similar two ellipses must be to be connected. 0 to 1.0. 1.0 = perfect match and 0.0 = infinite difference in size

thresholding

ConfigThreshold thresholding

Configuration for thresholding the image

Class boofcv.abst.fiducial.calib.ConfigCircleRegularGrid

class ConfigCircleRegularGrid extends Object implements Serializable

Serialized Fields

edgeIntensitySimilarityTolerance

double edgeIntensitySimilarityTolerance

How similar edge intensity between two ellipses need to be. 0 to 1.0. 1.0 = perfect match

ellipse

ConfigEllipseDetector ellipse

Configuration for the ellipse detector

ellipseSizeSimilarity

double ellipseSizeSimilarity

How similar two ellipses must be to be connected. 0 to 1.0. 1.0 = perfect match and 0.0 = infinite difference in size

thresholding

ConfigThreshold thresholding

Configuration for thresholding the image

Class boofcv.abst.fiducial.calib.ConfigECoCheckDetector

class ConfigECoCheckDetector extends Object implements Serializable

Serialized Fields

chessboard

ConfigChessboardX chessboard

Describes how to detect the chessboard

sampleCountSides

int sampleCountSides

Number of times it will sample the side a square when determining the binarization threshold

Class boofcv.abst.fiducial.calib.ConfigECoCheckMarkers

class ConfigECoCheckMarkers extends Object implements Serializable

Serialized Fields

checksumBits

int checksumBits

Number of bits allocated to the checksum. There can be at most 8 bits.

dataBitWidthFraction

double dataBitWidthFraction

Fraction of a cell's length the data bit is

dataBorderFraction

double dataBorderFraction

Fraction of the length the quite-zone is around data bits

errorCorrectionLevel

int errorCorrectionLevel

Amount of error correction applied. Larger values increase the number of data bits that need to be encoded, but increase the number of errors it can recover from. More bits means smaller dots and more errors. If there are extra bits in the square they will be allocated to error correction automatically. If two targets have different amounts of error correction they will be incompatible.

0 = no error correction. 9 = maximum amount.

firstTargetDuplicated

int firstTargetDuplicated

Number of times the first marker is duplicated.

markerShapes

FastArray<ConfigECoCheckMarkers.MarkerShape> markerShapes

Shapes of individual markers. The first marker might be duplicated.

Class boofcv.abst.fiducial.calib.ConfigECoCheckMarkers.MarkerShape

class MarkerShape extends Object implements Serializable

Serialized Fields

numCols

int numCols

Number of squares wide the grid is

numRows

int numRows

Number of squares tall the grid is

squareSize

double squareSize

Length of the square's side

Class boofcv.abst.fiducial.calib.ConfigGridDimen

class ConfigGridDimen extends Object implements Serializable

Serialized Fields

numCols

int numCols

Number of squares wide the grid is. Target dependent.

numRows

int numRows

Number of squares tall the grid is. Target dependent.

shapeDistance

double shapeDistance

Space between shapes. For squares this would be the distance between the sides. For circles is the distance between the circle's center. Not used for chessboard.

shapeSize

double shapeSize

Physical size of each shape. Side length for squares. Diameter for a circle.

Class boofcv.abst.fiducial.calib.ConfigSquareGrid

class ConfigSquareGrid extends Object implements Serializable

Serialized Fields

square

ConfigPolygonDetector square

Configuration for square detector NOTE: Number of sides, clockwise, and convex are all set by the detector in its consturctor. Values specified here are ignored.

thresholding

ConfigThreshold thresholding

Configuration for thresholding the image

Package boofcv.abst.scene

Class boofcv.abst.scene.ConfigFeatureToSceneRecognition

class ConfigFeatureToSceneRecognition extends Object implements Serializable

Serialized Fields

features

ConfigDetectDescribe features

Image feature detector

maxImagePixels

int maxImagePixels

Images are rescaled so that they have at most this number of pixels. To turn off set to a value ≤ 0. Many of feature related tuning parameters have an implicit assumption about image resolution. Processing a much higher resolution image could require changing many other parameters for optimal performance.

recognizeNeighbor

ConfigRecognitionNearestNeighbor recognizeNeighbor

Configuration for RecognitionNearestNeighborInvertedFile

recognizeNister2006

ConfigRecognitionNister2006 recognizeNister2006

Configuration for RecognitionVocabularyTreeNister2006

typeRecognize

ConfigFeatureToSceneRecognition.Type typeRecognize

Specifies which recognition algorithm to use

Package boofcv.abst.scene.ann

Class boofcv.abst.scene.ann.ConfigRecognitionNearestNeighbor

class ConfigRecognitionNearestNeighbor extends Object implements Serializable

Serialized Fields

distanceNorm

BowDistanceTypes distanceNorm

Specifies which norm to use. L1 should yield better results but is slower than L2 to compute.

kmeans

ConfigKMeans kmeans

Clustering algorithm used when learning the words

nearestNeighbor

ConfigNearestNeighborSearch nearestNeighbor

Which Nearest Neighbor Algorithm will be used.

numberOfWords

int numberOfWords

Number of words in the dictionary

randSeed

long randSeed

Random number generator seed used when clustering

Package boofcv.abst.scene.nister2006

Class boofcv.abst.scene.nister2006.ConfigRecognitionNister2006

class ConfigRecognitionNister2006 extends Object implements Serializable

Serialized Fields

distanceNorm

BowDistanceTypes distanceNorm

Specifies which norm to use. L1 should yield better results but is slower than L2 to compute.

featureSingleWordHops

int featureSingleWordHops

When converting a descriptor into a word it will return the word which is this many hops from the leaf. The leaf can be too specific and by "hoping" away from the leaf it gets more generic and will have more matches. If words are being used for frame-to-frame matching then this is a critical parameter. Default value will force it to the root's children. This won't fail but might not be the most effective choice.

kmeans

ConfigKMeans kmeans

Clustering algorithm used when learning the hierarchical tree

learningMaximumImagesInNode

ConfigLength learningMaximumImagesInNode

When learning, if a node is viewed by more than this number of images then its weight is set to zero. This is useful because it provides a more strategic way to eliminate less informative words from the image descriptor than by setting ConfigRecognitionNister2006.minimumDepthFromRoot. Disabled by default.

learningMinimumPointsForChildren

ConfigLength learningMinimumPointsForChildren

When learning, if a node has less than this number of points it will not spawn children. If relative then its relative to the total number of points. This is intended to avoid over fitting.

learnNodeWeights

boolean learnNodeWeights

If true then it will learn node weights. If false the all nodes but the root node will have a weight of 1.0

minimumDepthFromRoot

int minimumDepthFromRoot

Critical tuning parameter for performance. A node can't be a "word" in the descriptor if it's this close to the root node. Small values will prune less or no images in the database. As a result more images are considered slowing everything down. However, if this is set too high then valid images are pruned and recognition goes down. If set larger than tree.maximumLevel, then there are no valid nodes.

queryMaximumImagesInNode

ConfigLength queryMaximumImagesInNode

When making a query, If a node has an inverted file list greater than this amount then it will be skipped when scoring. This should be viewed as a last ditch effort when the query is too slow as it will degrade the quality. For example, with 1,000,000 images, setting this to be 5000 images reduced query time from 7,000 (ms) to 85 (ms).

randSeed

long randSeed

Seed used in random number generators

tree

ConfigHierarchicalVocabularyTree tree

Configuration for the tree when it's being learned

Package boofcv.abst.shapes.polyline

Class boofcv.abst.shapes.polyline.BaseConfigPolyline

class BaseConfigPolyline extends Object implements Serializable

Serialized Fields

convex

boolean convex

Does it require that the found polygons be convex?

loops

boolean loops

If true then the polyline forms a loops. Otherwise the end points are disconnected from each other.

maximumSides

int maximumSides

Maximum number of sides. Inclusive

minimumSides

int minimumSides

Minimum number of sides. Inclusive

Class boofcv.abst.shapes.polyline.ConfigPolylineSplitMerge

class ConfigPolylineSplitMerge extends BaseConfigPolyline implements Serializable

Serialized Fields

convexTest

double convexTest

If the contour between two corners is longer than this multiple of the distance between the two corners then it will be rejected as not convex. larger values make the tolerance weaker and smaller values make it more strict. Setting it too small can make it reject convex shapes.

cornerScorePenalty

double cornerScorePenalty

Used to adjust the penalty for adding a new corner. Larger numbers will bias it towards shapes with fewer sides. For simple convex shapes 0.2 is a reasonable value. For complex concave shapes 0.025 seems to do better.

extraConsider

ConfigLength extraConsider

How many corners past the max it will fit a polygon to. This enables it to recover from mistakes. Relative: Maximum number of sides.

maxNumberOfSideSamples

int maxNumberOfSideSamples

maximum number of points along a side it will sample when computing a score used to limit computational cost of large contours

maxSideError

ConfigLength maxSideError

Maximum allowed error along a single side in Eclidean distance in pixels. Relative to number of pixels in contour.

minimumSideLength

int minimumSideLength

The minimum length of a side

refineIterations

int refineIterations

Extra refinement that it does after the initial polyline has been found. Set to a value above zero to use this feature.

thresholdSideSplitScore

double thresholdSideSplitScore

If the error forside is less than this it is considered a perfect fit and the side won't be split. Adjust this value to improve the speed. Try setting to zero if corners are precise enough.

Package boofcv.abst.tracker

Class boofcv.abst.tracker.ConfigCirculantTracker

class ConfigCirculantTracker extends Object implements Serializable

Serialized Fields

interp_factor

double interp_factor

Weighting factor mixing old track image and new one. Effectively adjusts the rate at which it can adjust to changes in appearance. Values closer to zero slow down the rate of change. 0f is no update. 0.075f is recommended.

lambda

double lambda

Regularization term.

maxPixelValue

double maxPixelValue

Maximum pixel value. Used to normalize image. 8-bit images are 255

output_sigma_factor

double output_sigma_factor

Spatial bandwidth. Proportional to target size.

padding

double padding

How much padding is added around the region requested by the user. Specified as fraction of original image. Padding of 1 = 2x original size.

sigma

double sigma

gaussian kernel bandwidth

workSpace

int workSpace

Length of size in work space image. A total of N*N points are sampled. Should be set to a power of two to maximize speed. In general, larger numbers are more stable but slower.

Class boofcv.abst.tracker.ConfigComaniciu2003

class ConfigComaniciu2003 extends Object implements Serializable

Serialized Fields

interpolation

InterpolationType interpolation

Which interpolation method should it use.

maxPixelValue

float maxPixelValue

Largest value a pixel can have. For 8-bit images this is 255. Floating point images are some times normalized to 1.

meanShiftMaxIterations

int meanShiftMaxIterations

Maximum number of mean-shift iterations. Try 30

meanShiftMinimumChange

float meanShiftMinimumChange

Mean-shift will stop when the change is below this threshold. Try 1e-4f

minimumSizeRatio

float minimumSizeRatio

The scale is allowed to be reduced by this much from the original region which is selected. Default is 0.25

numHistogramBins

int numHistogramBins

Number of histogram bins for each band. Try 5

numSamples

int numSamples

Number of points it samples along each axis of the rectangle. Default is 30.

numSigmas

double numSigmas

Used to compute weights. Number of standard deviations away the sides will be from the center. Shouldn't need to tune this. Try 3.

scaleChange

float scaleChange

Specifies how much it will scale the region up and down by when testing for a scale change. Allowed values are from 0 to 1, inclusive. 0 means no scale change and 1 is 100% increase and decrease. If no scale change is considered it can run 3x faster. If the target doesn't change scale then the tracker is much more robust. The paper recommends 0.1. By default scale change is set to 0.

scaleWeight

float scaleWeight

Weighting factor which limits the amount it will change the scale. Value from 0 to 1. Closer to 0 the more it will prefer the most recent estimate. Try 0.1

updateHistogram

boolean updateHistogram

If true the histogram will be updated using the most recent image. Try false.

Class boofcv.abst.tracker.ConfigTrackerDda

class ConfigTrackerDda extends Object implements Serializable

Serialized Fields

maxInactiveTracks

int maxInactiveTracks

If there are more than this number of inactive tracks then inactive tracks will be randomly discarded until there is this many left.

seed

long seed

Random seed

updateDescription

boolean updateDescription

Update the description each time its successfully matched?

Class boofcv.abst.tracker.ConfigTrackerHybrid

class ConfigTrackerHybrid extends Object implements Serializable

Serialized Fields

maxInactiveTracks

int maxInactiveTracks

If there are more than this number of unused tracks they will be randomly discarded. This is intended to prevent unbounded growth of unused tracks even if tracks are not explicity pruned.

pruneCloseTracks

boolean pruneCloseTracks

KLT tracks can drift to being on top of each other. This will prune a few if that happens

seed

long seed

Random seed

thresholdRespawn

ConfigLength thresholdRespawn

It will attempt to respawn old dropped tracks when the number of active tracks drops below this value. The fractional part is relative to the number of tracks after the last spawn or most recent respawn.

Class boofcv.abst.tracker.ConfigTrackerTld

class ConfigTrackerTld extends Object implements Serializable

Serialized Fields

interpolate

InterpolationType interpolate

Specifies the type of interpolation. More stable with bilinear, but nearest-neighbor can be used to maximize speed.

parameters

ConfigTld parameters

Configuration parameters

Package boofcv.alg.feature.color

Class boofcv.alg.feature.color.Histogram_F64

class Histogram_F64 extends TupleDesc_F64 implements Serializable

Serialized Fields

length

int[] length

strides

int[] strides

valueMax

double[] valueMax

valueMin

double[] valueMin

Package boofcv.alg.feature.detect.chess

Class boofcv.alg.feature.detect.chess.ChessboardCorner

class ChessboardCorner extends Point2D_F64 implements Serializable

Serialized Fields

contrast

double contrast

The white region subtracted the black region at the chessboard corner. Can be used later on for locally adaptive thresholds

edgeIntensity

double edgeIntensity

Value of smallest Eigen value in edge detector

edgeRatio

double edgeRatio

Ratio of smallest and largest Eigen values in edge detector

first

boolean first

Internal book keeping. if true then this indicates that this is the first corner seen in this level

intensity

double intensity

Used to judge how good of a fit the corner is to an ideal chessboard corner. Higher the value the more x-corner like. Computed on a per-feature basis and should be more accurate than the x-corner detector intensity.

level1

int level1

The first and second level in the pyramid the corner was seen at. level1 <= level2

level2

int level2

The first and second level in the pyramid the corner was seen at. level1 <= level2

levelMax

int levelMax

Level with the maximum corner intensity

orientation

double orientation

Radian from pi to -pi

Package boofcv.alg.feature.detect.line.gridline

Class boofcv.alg.feature.detect.line.gridline.Edgel

class Edgel extends Point2D_F32 implements Serializable

Serialized Fields

theta

float theta

Package boofcv.alg.fiducial.calib

Class boofcv.alg.fiducial.calib.ConfigCalibrationTarget

class ConfigCalibrationTarget extends Object implements Serializable

Serialized Fields

ecocheck

ConfigECoCheckMarkers ecocheck

Physical descrition of ECoCheck

grid

ConfigGridDimen grid

Physical description of all regular grid patterns

hammingChess

ConfigHammingChessboard hammingChess

Physical description of hamming chessboard

hammingGrid

ConfigHammingGrid hammingGrid

Physical description of hamming grid

type

@Nullable CalibrationPatterns type

Which type of calibration target

Exception boofcv.alg.fiducial.calib.InvalidCalibrationTarget

class InvalidCalibrationTarget extends RuntimeException implements Serializable

Package boofcv.alg.fiducial.calib.circle

Class boofcv.alg.fiducial.calib.circle.KeyPointsCircleHexagonalGrid.Tangents

class Tangents extends DogArray<Point2D_F64> implements Serializable

Package boofcv.alg.fiducial.qrcode

Class boofcv.alg.fiducial.qrcode.QrCodeCodeWordLocations

class QrCodeCodeWordLocations extends BMatrixRMaj implements Serializable

Serialized Fields

bits

List<Point2D_I32> bits

Package boofcv.alg.flow

Class boofcv.alg.flow.ConfigBroxWarping

class ConfigBroxWarping extends Object implements Serializable

Serialized Fields

alpha

float alpha

Brightness difference weighting factor. Larger values which prefer a smooth flow.

convergeToleranceSor

float convergeToleranceSor

Convergence tolerance for SOR loop. Specified in per pixel error.

gamma

float gamma

Gradient difference weighting factor. Larger values which prefer a smooth flow.

interpolation

InterpolationType interpolation

Type of interpolation used. Bilinear recommended

maxIterationsSor

int maxIterationsSor

Maximum allowed iterations for SOR

numInner

int numInner

Number of iterations in the inner loop

numOuter

int numOuter

Number of iterations in the outer loop

pyrMaxLayers

int pyrMaxLayers

Maximum number of layers in the pyramid

pyrScale

double pyrScale

Change in scale between each layer. Try 0.75

pyrSigma

double pyrSigma

Amount of gaussian blur applied to each layer in the pyramid. If sigma ≤ 0 then no blur is applied.

SOR_RELAXATION

float SOR_RELAXATION

SOR relaxation parameter. 0 < w < 2. Recommended default is 1.9

Package boofcv.alg.scene

Class boofcv.alg.scene.HistogramScene

class HistogramScene extends Object implements Serializable

Serialized Fields

histogram

double[] histogram

Normalized word frequency histogram. Normalized so that it sums up to 1.

type

int type

The type of scene the image was representative of

Package boofcv.alg.scene.vocabtree

Class boofcv.alg.scene.vocabtree.ConfigHierarchicalVocabularyTree

class ConfigHierarchicalVocabularyTree extends Object implements Serializable

Serialized Fields

branchFactor

int branchFactor

Number of children for each node

maximumLevel

int maximumLevel

Maximum number of levels in the tree

Package boofcv.alg.similar

Class boofcv.alg.similar.ConfigSimilarImagesSceneRecognition

class ConfigSimilarImagesSceneRecognition extends Object implements Serializable

Serialized Fields

associate

ConfigAssociate associate

Feature association

features

ConfigDetectDescribe features

Image feature detector

limitMatchesConsider

int limitMatchesConsider

Number of images which will be considered as matches when using the recognizer

minimumSimilar

ConfigLength minimumSimilar

Specifies how many features need to be matched for an image to be considered similar. Absolute is the number of matches. Fraction is relative to the number of images in each image.

recognizeNister2006

ConfigRecognitionNister2006 recognizeNister2006

Configuration for RecognitionVocabularyTreeNister2006

Class boofcv.alg.similar.ConfigSimilarImagesTrackThenMatch

class ConfigSimilarImagesTrackThenMatch extends Object implements Serializable

Serialized Fields

associate

ConfigAssociate associate

Feature association

descriptions

ConfigDescribePoint descriptions

Image feature descriptions

limitQuery

int limitQuery

Number of images which will be considered as matches when using the recognizer

minimumRecognizeDistance

int minimumRecognizeDistance

Minimum number of frames (by ID) away two frames need to be for loop closure logic to connect them

minimumSimilar

ConfigLength minimumSimilar

Specifies how many features need to be matched for an image to be considered similar. Absolute is the number of matches. Fraction is relative to the number of images in each image. The default minimum number of matches is probably set too low.

recognizeNister2006

ConfigRecognitionNister2006 recognizeNister2006

Configuration for RecognitionVocabularyTreeNister2006

sequentialMinimumCommonTracks

ConfigLength sequentialMinimumCommonTracks

SimilarImagesFromTracks.minimumCommonTracks

sequentialSearchRadius

int sequentialSearchRadius

SimilarImagesFromTracks.searchRadius

Package boofcv.alg.structure

Class boofcv.alg.structure.ConfigProjectiveReconstruction

class ConfigProjectiveReconstruction extends Object implements Serializable

Serialized Fields

ransac

ConfigRansac ransac

Configurations for running RANSAC

ransacError

ConfigTrifocalError ransacError

How trifocal tensor error is computed inside of RANSAC

ransacTrifocal

ConfigTrifocal ransacTrifocal

How trifocal tensor error is computed inside of RANSAC

sba

ConfigBundleAdjustment sba

Optimization parameters for SBA

sbaConverge

ConfigConverge sbaConverge

Converge tolerance for SBA

sbaScale

boolean sbaScale

Toggles scaling inputs for SBA

Package boofcv.alg.tracker.klt

Class boofcv.alg.tracker.klt.ConfigKlt

class ConfigKlt extends Object implements Serializable

Serialized Fields

driftFracTol

float driftFracTol

Drift tolerance relative to feature's width/

forbiddenBorder

int forbiddenBorder

Due to how the image derivative and interpolation is performed outer most pixels. Features are not allowed to overlap this close to the image's edge. WARNING: currently not used. will probably be removed.

maxIterations

int maxIterations

Maximum number of iterations KLT performs for each feature

maxPerPixelError

float maxPerPixelError

Maximum allowed average per pixel error across the whole region.

minDeterminant

float minDeterminant

Declare a feature as invalid if hte detemrinant is less than this value.

minPositionDelta

float minPositionDelta

Stop iterating of the change in x and y is less than this number.

Class boofcv.alg.tracker.klt.ConfigPKlt

class ConfigPKlt extends Object implements Serializable

Serialized Fields

concurrentMinimumTracks

int concurrentMinimumTracks

If running a concurrent implementations, what's the minimum number of tracks for it to do parallel

config

ConfigKlt config

configuration for low level KLT tracker

maximumTracks

ConfigLength maximumTracks

Specifies the maximum number of features it can track. If fixed at 0 then there is no limit. If relative then it's relative to the total number of pixels in the image.

NOTE: PointTrackerKltPyramid will manage the number of detections and will override ConfigGeneralDetector.maxFeatures.

pruneClose

boolean pruneClose

If true it will prune tracks which come too close to each other. The default behavior is to prune tracks will higher feature IDs.

pyramidLevels

ConfigDiscreteLevels pyramidLevels

Specifies the number of layers in the pyramid

templateRadius

int templateRadius

The radius of a feature descriptor in layer. 2 is a reasonable number.

toleranceFB

double toleranceFB

Forwards-Backwards validation tolerance. If set to a value ≥ 0 it will track features from the current frame to the previous frame and if the difference in location is greater than this amount the track will be dropped.

Package boofcv.alg.tracker.sfot

Class boofcv.alg.tracker.sfot.ConfigSfot

class ConfigSfot extends Object implements Serializable

Serialized Fields

maximumErrorFB

double maximumErrorFB

Maximum allowed forward-backwards error in pixels

numberOfSamples

int numberOfSamples

Number of points it samples along one side of the grid.

randSeed

long randSeed

Random seed used by random number generator

robustCycles

int robustCycles

Number of iterative cycles used by LeastMedianOfSquares

robustMaxError

double robustMaxError

Maximum allowed error in pixels when performing robust model fitting using LeastMedianOfSquares

trackerConfig

ConfigKlt trackerConfig

Basic parameters for tracker. KltConfig.createDefault() with maxIterations = 50 is suggested.

trackerFeatureRadius

int trackerFeatureRadius

Package boofcv.alg.tracker.tld

Class boofcv.alg.tracker.tld.ConfigTld

class ConfigTld extends Object implements Serializable

Serialized Fields

confidenceAccept

double confidenceAccept

The minimum value for a region's confidence that will be accepted. When the tracking hypothesis is accepted its value can dip very low.

confidenceThresholdLower

double confidenceThresholdLower

Lower acceptance threshold for confidence. Used during hypothesis fusion. Suggested value is 0.5

confidenceThresholdStrong

double confidenceThresholdStrong

A track must have a confidence above this value to be considered highly confident, allowing learning to be activated again.

confidenceThresholdUpper

double confidenceThresholdUpper

Upper acceptance threshold for confidence. Suggested value is 0.65

detectMinimumSide

int detectMinimumSide

The minimum number of pixels along a side in a detection rectangle which will be considered.

fernSize

int fernSize

Number of sample points pairs. 0 < N ≤ 32. A value of 10 is recommended.

maximumCascadeConsider

int maximumCascadeConsider

Maximum number of NCC templates it will examine inside the detection cascade. Used to limit the amount of processing used during detection. To disable set to Integer.MAX_VALUE

maximumErrorFB

double maximumErrorFB

The maximum allowed forwards-backwards error (pixels) for a track. Suggested value is 10.

motionIterations

int motionIterations

Number of iterations in LSMeD to estimate the region's motion.

numFerns

int numFerns

Number of fern descriptors. A value of 10 is recommended.

numNegativeFerns

int numNegativeFerns

Number of ferns it will use to train the negative classifier

overlapLower

double overlapLower

If two regions have an overlap less than this value they are considered to be disconnected

overlapUpper

double overlapUpper

If two regions have an overlap more than or equal to this value they are considered to be strongly connected

randomSeed

long randomSeed

Random number seed. Used to create ferns and perform robust model fitting.

regionConnect

double regionConnect

If two regions have an overlap fraction more than or equal to this value then they will be considered connected. Used inside of non-maximum suppression. A value of 0.5 is suggested.

scaleSpread

int scaleSpread

Determines the number of scales it will search in increments of powers of 1.2. All scales from 1.2^(-scaleSpread) to 1.2^scaleSpread are checked.

thresholdSimilarArea

double thresholdSimilarArea

How similar the area needs to be for it to be considered a continuation of the previous track and will update the description

trackerConfig

ConfigKlt trackerConfig

Basic parameters for tracker. KltConfig.createDefault() with maxIterations = 50 is suggested.

trackerFeatureRadius

int trackerFeatureRadius

Radius of KLT tracks. A radius of 5 is recommended.

trackerGridWidth

int trackerGridWidth

Tracks are spawned in an evenly spaced grid inside the previous region. This value specifies the number of rows and columns in the grid.

Package boofcv.core.graph

Class boofcv.core.graph.FeatureGraph2D.Node

class Node extends Point2D_F64 implements Serializable

Serialized Fields

edges

List<FeatureGraph2D.Edge> edges

List of edges connected to it

index

int index

Optional index to another data structure

Package boofcv.errors

Exception boofcv.errors.BoofCheckFailure

class BoofCheckFailure extends RuntimeException implements Serializable

Exception boofcv.errors.OperationNotSupportedException

class OperationNotSupportedException extends RuntimeException implements Serializable

Package boofcv.factory.background

Class boofcv.factory.background.BaseConfigBackground

class BaseConfigBackground extends Object implements Serializable

Serialized Fields

unknownValue

int unknownValue

Specifies what value a pixel should be assigned if no statistical information is available.

Class boofcv.factory.background.ConfigBackgroundBasic

class ConfigBackgroundBasic extends BaseConfigBackground implements Serializable

Serialized Fields

interpolation

InterpolationType interpolation

Specifies which interpolation it will use. InterpolationType.BILINEAR or InterpolationType.NEAREST_NEIGHBOR recommended.

ONLY USED FOR MOVING BACKGROUNDS!

learnRate

float learnRate

Specifies how fast it will adapt to changes in the background. From 0 to 1, inclusive. 0 = static 1.0 = instant.

threshold

float threshold

Threshold for classifying a pixel as background or not. If euclidean distance less than or equal to this value it is background.

Class boofcv.factory.background.ConfigBackgroundGaussian

class ConfigBackgroundGaussian extends BaseConfigBackground implements Serializable

Serialized Fields

initialVariance

float initialVariance

The initial variance assigned to a new pixel. Larger values to reduce false positives due to under sampling. Don't set to zero since that can cause divided by zero errors.

interpolation

InterpolationType interpolation

Specifies which interpolation it will use. InterpolationType.BILINEAR or InterpolationType.NEAREST_NEIGHBOR recommended.

ONLY USED FOR MOVING BACKGROUNDS!

learnRate

float learnRate

Specifies how fast it will adapt to changes in the background. From 0 to 1, inclusive. 0 = static 1.0 = instant.

minimumDifference

float minimumDifference

Minimum Euclidean distance between the mean background and observed pixel value for it to be considered moving. This value is automatically scaled for the number of bands in the image.

threshold

float threshold

Threshold for classifying a pixel as background or not. This threshold is applied to the computed Mahalanobis from the distribution. An appropriate threshold will vary depending on the number of bands in the image. Start tuning at 12.

Class boofcv.factory.background.ConfigBackgroundGmm

class ConfigBackgroundGmm extends BaseConfigBackground implements Serializable

Serialized Fields

decayCoefient

float decayCoefient

Determines how quickly a model is forgotten. Smaller values means they last longer. Values equal to or greater than one might cause new Gaussians to be immediately removed.

initialVariance

float initialVariance

The initial variance assigned to a new pixel. Larger values to reduce false positives due to under sampling. Don't set to zero since that can cause divided by zero errors.

learningPeriod

float learningPeriod

Specifies how fast it will adjust to changes in the image. Must be greater than zero.

maxDistance

float maxDistance

Maximum Mahalanobis a value can be from a Gaussian to be considered a member of the gaussian

numberOfGaussian

int numberOfGaussian

Maximum number of gaussians that can be in a single mixture

significantWeight

float significantWeight

Once the weight for a Gaussian becomes greater than this amount it is no longer considered part of the foreground and is the the background model. Strongly influences how long it takes an object that was moving to fade into the background. Probably one of the first tuning variables you should mess with.

Package boofcv.factory.disparity

Class boofcv.factory.disparity.ConfigDisparity

class ConfigDisparity extends Object implements Serializable

Serialized Fields

approach

ConfigDisparity.Approach approach

Specifies which approach to use

approachBM

ConfigDisparityBM approachBM

Configuration for Block Matching approach

approachBM5

ConfigDisparityBMBest5 approachBM5

Configuration for Block Matching Best-5 approach

approachSGM

ConfigDisparitySGM approachSGM

Configuration for Semi Global Matching (SGM) appraoch

Class boofcv.factory.disparity.ConfigDisparityBM

class ConfigDisparityBM extends Object implements Serializable

Serialized Fields

border

BorderType border

Specifies how the image border is handled. In general you want to avoid an approach which would bias the error to prefer a region with lots of pixels outside the image border.

catastrophicReset

int catastrophicReset

This recomputes from scratch the disparity score every N rows. If this is not done then large errors can build up resulting in inaccurate range estimates. This is hardly noticeable in most stereo benchmarks as everything is up close. Set to 1 to maximize numerical stability and set to Integer.MAX_VALUE to disable.

See Also:

• DisparityBlockMatchRowFormat.catastrophicReset

configCensus

ConfigDisparityError.Census configCensus

Used if error type is Census

configNCC

ConfigDisparityError.NCC configNCC

Used if error type is NCC

disparityMin

int disparityMin

Minimum disparity that it will check. Must be ≥ 0 and < maxDisparity

disparityRange

int disparityRange

Number of disparity values considered. Must be > 0

errorType

DisparityError errorType

How the error is computed for each block

maxPerPixelError

double maxPerPixelError

Maximum allowed error in a region per pixel. Only used by "error" based measures, e.g. NCC does not use this value. Set to < 0 to disable.

regionRadiusX

int regionRadiusX

Radius of the rectangular region along x-axis.

regionRadiusY

int regionRadiusY

Radius of the rectangular region along y-axis.

saveScore

boolean saveScore

If true it will save the disparity score for each pixel

subpixel

boolean subpixel

If subpixel should be used to find disparity or not. If on then output disparity image needs to me GrayF32. If false then GrayU8.

texture

double texture

Tolerance for how similar optimal region is to other region. Closer to zero is more tolerant. Try 0.15 unless NCC then 0.005. Disable with a value ≤ 0

validateRtoL

int validateRtoL

Tolerance for how difference the left to right associated values can be. Try 1. Disable with -1

Class boofcv.factory.disparity.ConfigDisparityBMBest5

class ConfigDisparityBMBest5 extends ConfigDisparityBM implements Serializable

Class boofcv.factory.disparity.ConfigDisparityError.Census

class Census extends Object implements Serializable

Serialized Fields

variant

CensusVariants variant

Class boofcv.factory.disparity.ConfigDisparityError.HMI

class HMI extends Object implements Serializable

Serialized Fields

extraIterations

int extraIterations

Number of additional iterations to perform. This should improve the MI estimate, but the cost is significant.

pyramidLayers

ConfigDiscreteLevels pyramidLayers

Specifies the smallest layer in pyramid. Used to compute Mutual Information Cost

smoothingRadius

int smoothingRadius

Radius of Gaussian kernel when applying smoothing during Mutual Information computation.

totalGrayLevels

int totalGrayLevels

Number of possible pixel values. MI was designed around 8-bit images and performance will degrade for large values.

Class boofcv.factory.disparity.ConfigDisparityError.NCC

class NCC extends Object implements Serializable

Serialized Fields

eps

double eps

Used to avoid a divide by zero error when dividing by the standard deviation. Only used with NCC. Smaller values are more mathematically accurate but make it more sensitive to floating point error. This has been tuned to work with pixel values that have been scaled to -1 to 1.

normalizeInput

boolean normalizeInput

If true then the input will be normalized so that it has zero mean and a max absolute value of one. Reduces numerical issues.

Class boofcv.factory.disparity.ConfigDisparitySGM

class ConfigDisparitySGM extends Object implements Serializable

Serialized Fields

border

BorderType border

Specifies how the image border is handled. In general you want to avoid an approach which would bias the error to prefer a region with lots of pixels outside the image border.

configBlockMatch

ConfigDisparitySGM.ConfigBlockMatchError configBlockMatch

The error can be computed using code taken from block matching

configCensus

ConfigDisparityError.Census configCensus

Used if error type is Census

configHMI

ConfigDisparityError.HMI configHMI

Used if error type is HMI

disparityMin

int disparityMin

Minimum disparity that it will check. Must be ≥ 0 and < maxDisparity

disparityRange

int disparityRange

Number of disparity values considered. Must be > 0. Maximum number is 255 for 8-bit disparity images.

errorType

DisparitySgmError errorType

Which error model should it use

maxError

int maxError

Maximum allowed error for a single pixel. Set to a value less than 0 to disable. Has a range from 0 to SgmDisparityCost.MAX_COST

paths

ConfigDisparitySGM.Paths paths

Number of paths it should consider. 4 or 8 is most common. More paths slower it will run.

penaltyLargeChange

int penaltyLargeChange

The penalty applied to a large change in disparity. 0 ≤ x ≤ SgmDisparityCost.MAX_COST

penaltySmallChange

int penaltySmallChange

The penalty applied to a small change in disparity. 0 ≤ x ≤ SgmDisparityCost.MAX_COST and must be less than ConfigDisparitySGM.penaltyLargeChange.

subpixel

boolean subpixel

If subpixel should be used to find disparity or not. If on then output disparity image needs to me GrayF32. If false then GrayU8.

texture

double texture

Tolerance for how similar optimal region is to other region. Closer to zero is more tolerant. Try 0.1 for SAD or 0.7 for NCC. Disable with a value ≤ 0

useBlocks

boolean useBlocks

If true it will use block variants of errors.

validateRtoL

int validateRtoL

Tolerance for how difference the left to right associated values can be. Try 1. Disable with -1

Class boofcv.factory.disparity.ConfigDisparitySGM.ConfigBlockMatchError

class ConfigBlockMatchError extends Object implements Serializable

Serialized Fields

approach

BlockMatchingApproach approach

radiusX

int radiusX

Block radius X

radiusY

int radiusY

Block radius Y

Package boofcv.factory.feature.associate

Class boofcv.factory.feature.associate.ConfigAssociate

class ConfigAssociate extends Object implements Serializable

Serialized Fields

greedy

ConfigAssociateGreedy greedy

maximumDistancePixels

ConfigLength maximumDistancePixels

Specifies the maximum distance allowed between associated pixels. This is only used when creating an association algorithm that supports 2D information.

If an absolute value is specified then it's in units of pixels. If relative then it is a fraction of max(imageWidth, imageHeight)

nearestNeighbor

ConfigAssociateNearestNeighbor nearestNeighbor

type

ConfigAssociate.AssociationType type

The association algorithm used. Not always used.

Class boofcv.factory.feature.associate.ConfigAssociateGreedy

class ConfigAssociateGreedy extends Object implements Serializable

Serialized Fields

forwardsBackwards

boolean forwardsBackwards

If true then for a match to be accepted the two features must be each others mutually best match when associating in the forwards and backwards direction.

maxErrorThreshold

double maxErrorThreshold

If more than zero then this is the maximum allowed error/distance between two features for a match to be accepted

scoreRatioThreshold

double scoreRatioThreshold

An association is only accepted if the ratio between the second best and best score is less than this value. Closer to zero is more strict and closer to 1.0 is less strict. Set to a value ≥ 1.0 to disable.

Class boofcv.factory.feature.associate.ConfigAssociateNearestNeighbor

class ConfigAssociateNearestNeighbor extends Object implements Serializable

Serialized Fields

distanceIsSquared

boolean distanceIsSquared

If true then the score which represents the distance between two features is squared. If this flag is true then when the score ratio is computed the square root will be used.

maxErrorThreshold

double maxErrorThreshold

If more than zero then this is the maximum allowed error/distance between two features for a match to be accepted

maxNodesSearched

int maxNodesSearched

The maximum number of nodes it will search in a KD-Tree. Setting a limit will improve speed at the cost of accuracy.

scoreRatioThreshold

double scoreRatioThreshold

If less than one then the best two matches are found the ratio is defined as the distance of the best divided by the distance of the second best. Matches are only accepted if less than this ratio

Package boofcv.factory.feature.dense

Class boofcv.factory.feature.dense.ConfigDenseHoG

class ConfigDenseHoG extends Object implements Serializable

Serialized Fields

cellsPerBlockX

int cellsPerBlockX

Number of cells wide a block is along x-axis

cellsPerBlockY

int cellsPerBlockY

Number of cells wide a block is along x-axis

fastVariant

boolean fastVariant

If set to true a faster variant of HOG will be used which doesn't apply spatial normalization. Set to false to replicate the version of HOG proposed in the original paper.

orientationBins

int orientationBins

Number of orientation bins.

pixelsPerCell

int pixelsPerCell

Number of pixels in a cell.

stepBlock

int stepBlock

Number of cells that are skipped between two blocks.

Class boofcv.factory.feature.dense.ConfigDenseSift

class ConfigDenseSift extends Object implements Serializable

Serialized Fields

sampling

DenseSampling sampling

Specifies the frequency it will sample across the image in pixels. Default ix period X = 6, period Y = 6.

sift

ConfigSiftDescribe sift

Specifies how the SIFT descriptor is computed. All parameters are used but ConfigSiftDescribe.sigmaToPixels

Class boofcv.factory.feature.dense.ConfigDenseSurfFast

class ConfigDenseSurfFast extends Object implements Serializable

Serialized Fields

descriptorScale

double descriptorScale

Relative size of descriptor

sampling

DenseSampling sampling

Specifies the frequency it will sample across the image in pixels. Default ix period X = 8, period Y = 8.

surf

ConfigSurfDescribe.Fast surf

Configuration for Stable SURF descriptor

Class boofcv.factory.feature.dense.ConfigDenseSurfStable

class ConfigDenseSurfStable extends Object implements Serializable

Serialized Fields

descriptorScale

double descriptorScale

Relative size of descriptor

sampling

DenseSampling sampling

Specifies the frequency it will sample across the image in pixels. Default ix period X = 8, period Y = 8.

surf

ConfigSurfDescribe.Stability surf

Configuration for Stable SURF descriptor

Package boofcv.factory.feature.describe

Class boofcv.factory.feature.describe.ConfigConvertTupleDesc

class ConfigConvertTupleDesc extends Object implements Serializable

Serialized Fields

outputData

ConfigConvertTupleDesc.DataType outputData

Data structure of the output descriptor.

Class boofcv.factory.feature.describe.ConfigDescribePoint

class ConfigDescribePoint extends Object implements Serializable

Serialized Fields

convert

ConfigConvertTupleDesc convert

Convert the descriptor into a different format

descriptors

ConfigDescribeRegion descriptors

Specifies how the descriptors are computed

orientation

ConfigOrientation2 orientation

Specifies how the orientation is found for orientation invariant descriptors

radius

double radius

If the descriptor is scale invariant you need to specify the region it will cover. If ≤ 0 it will use the descriptor's default

Class boofcv.factory.feature.describe.ConfigDescribeRegion

class ConfigDescribeRegion extends Object implements Serializable

Serialized Fields

brief

ConfigBrief brief

convert

ConfigConvertTupleDesc convert

Convert the descriptor into a different format

scaleSpaceSift

ConfigSiftScaleSpace scaleSpaceSift

Describes the scale-space used by SIFT

sift

ConfigSiftDescribe sift

surfFast

ConfigSurfDescribe.Fast surfFast

surfStability

ConfigSurfDescribe.Stability surfStability

template

ConfigTemplateDescribe template

type

ConfigDescribeRegion.Type type

The feature descriptor is used. Not always used.

Package boofcv.factory.feature.detdesc

Class boofcv.factory.feature.detdesc.ConfigDetectDescribe

class ConfigDetectDescribe extends Object implements Serializable

Serialized Fields

convertDescriptor

ConfigConvertTupleDesc convertDescriptor

Convert the descriptor into a different format

describeBrief

ConfigBrief describeBrief

describeSift

ConfigSiftDescribe describeSift

describeSurfFast

ConfigSurfDescribe.Fast describeSurfFast

describeSurfStability

ConfigSurfDescribe.Stability describeSurfStability

describeTemplate

ConfigTemplateDescribe describeTemplate

detectFastHessian

ConfigFastHessian detectFastHessian

Fast Hessian scale invariant blob detector. This is what SURF uses

detectPoint

ConfigPointDetector detectPoint

Configuration for point based detectors (e.g. corners and blob)

detectSift

ConfigSiftDetector detectSift

SIFT scale invariant blob detector

orientation

ConfigOrientation2 orientation

Configuration for estimating the region's orientation

scaleSpaceSift

ConfigSiftScaleSpace scaleSpaceSift

Describes the scale-space used by SIFT detector / descriptor.

typeDescribe

ConfigDescribeRegion.Type typeDescribe

The feature descriptor is used. Not always used.

typeDetector

ConfigDetectInterestPoint.Type typeDetector

The feature detector is used. Not always used.

Package boofcv.factory.feature.detect.interest

Class boofcv.factory.feature.detect.interest.ConfigDetectInterestPoint

class ConfigDetectInterestPoint extends Object implements Serializable

Serialized Fields

fastHessian

ConfigFastHessian fastHessian

Fast Hessian scale invariant blob detector. This is what SURF uses

point

ConfigPointDetector point

Configuration for point based detectors (e.g. corners and blob)

scaleSpaceSift

ConfigSiftScaleSpace scaleSpaceSift

Describes the scale-space used by SIFT detector / descriptor.

sift

ConfigSiftDetector sift

SIFT scale invariant blob detector

type

ConfigDetectInterestPoint.Type type

The feature detector is used. Not always used.

Package boofcv.factory.feature.detect.line

Class boofcv.factory.feature.detect.line.ConfigEdgeThreshold

class ConfigEdgeThreshold extends Object implements Serializable

Serialized Fields

gradient

DerivativeType gradient

Which method to use to compute the gradient

nonMax

boolean nonMax

Should it apply edge based non-maximum suppression

threshold

float threshold

Threshold for classifying pixels as edge or not. Try 30.

Class boofcv.factory.feature.detect.line.ConfigHoughBinary

class ConfigHoughBinary extends Object implements Serializable

Serialized Fields

binarization

ConfigHoughBinary.Binarization binarization

Approach used to compute a binary image

localMaxRadius

int localMaxRadius

Radius for local maximum suppression. Try 2.

maxLines

int maxLines

Maximum number of lines to return. If ≤ 0 it will return all

mergeAngle

double mergeAngle

If two lines have a slope within this tolerance (radians) then they can be merged.

mergeDistance

double mergeDistance

If two lines are within this distance of each other then they can be merged. units = pixels.

minCounts

ConfigLength minCounts

Minimum number of counts for detected line. This value is critical to speed. If absolute it will be the number of counts in a cell. If relative it will be relative to the total area of the transform image.

thresholdEdge

ConfigEdgeThreshold thresholdEdge

How the gradient is thresholded if ConfigHoughBinary.Binarization.EDGE is selected

thresholdImage

ConfigThreshold thresholdImage

How the image is thresholded if ConfigHoughBinary.Binarization.IMAGE is selected

Class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage

class ConfigHoughFootSubimage extends Object implements Serializable

Serialized Fields

localMaxRadius

int localMaxRadius

Lines in transform space must be a local max in a region with this radius. Try 5;

maxLines

int maxLines

Maximum number of lines to return. If ≤ 0 it will return them all.

minCounts

int minCounts

Minimum number of counts/votes inside the transformed image. Try 5.

minDistanceFromOrigin

int minDistanceFromOrigin

Lines which are this close to the origin of the transformed image are ignored. Try 5.

thresholdEdge

float thresholdEdge

Threshold for classifying pixels as edge or not. Try 30.

totalHorizontalDivisions

int totalHorizontalDivisions

Number of sub-images in horizontal direction Try 2

totalVerticalDivisions

int totalVerticalDivisions

Number of sub images in vertical direction. Try 2

Class boofcv.factory.feature.detect.line.ConfigHoughGradient

class ConfigHoughGradient extends Object implements Serializable

Serialized Fields

edgeThreshold

ConfigEdgeThreshold edgeThreshold

How the gradient is thresholded

localMaxRadius

int localMaxRadius

Lines in transform space must be a local max in a region with this radius. Try 5;

maxLines

int maxLines

Maximum number of lines to return. If ≤ 0 it will return them all.

mergeAngle

double mergeAngle

If two lines have a slope within this tolerance (radians) then they can be merged.

mergeDistance

double mergeDistance

If two lines are within this distance of each other then they can be merged. units = pixels.

minCounts

int minCounts

Minimum number of counts/votes inside the transformed image. Try 5.

minDistanceFromOrigin

int minDistanceFromOrigin

Lines which are this close to the origin of the transformed image are ignored. Try 5.

refineRadius

int refineRadius

Radius of mean-shift refinement. Set to zero to turn off.

Class boofcv.factory.feature.detect.line.ConfigLineRansac

class ConfigLineRansac extends Object implements Serializable

Serialized Fields

connectLines

boolean connectLines

Should lines be connected and optimized.

regionSize

int regionSize

Size of the region considered. Try 40 and tune.

thresholdAngle

double thresholdAngle

Tolerance in angle for allowing two edgels to be paired up, in radians. Try 2.36

thresholdEdge

double thresholdEdge

Threshold for determining which pixels belong to an edge or not. Try 30 and tune.

Class boofcv.factory.feature.detect.line.ConfigParamFoot

class ConfigParamFoot extends Object implements Serializable

Serialized Fields

minDistanceFromOrigin

int minDistanceFromOrigin

Lines which are this close to the origin of the transformed image are ignored. Try 5.

Class boofcv.factory.feature.detect.line.ConfigParamPolar

class ConfigParamPolar extends Object implements Serializable

Serialized Fields

numBinsAngle

int numBinsAngle

Number of bins along angle axis. Resolution = 180/binAngle (degrees)

resolutionRange

double resolutionRange

Resolution of line range in pixels. Try 2

Package boofcv.factory.feature.detect.peak

Class boofcv.factory.feature.detect.peak.ConfigMeanShiftSearch

class ConfigMeanShiftSearch extends Object implements Serializable

Serialized Fields

convergenceTol

double convergenceTol

When motion along both axises is less than this hold the search

maxIterations

int maxIterations

Maximum number of mean shift iterations it will perform

odd

boolean odd

If the region will have an "odd" region. Odd regions have a width that is an odd number, i.e. 2*radius+1 and start sampling at -radius. Even regions have an even width (2*radius) and start sampling at -(radius-0.5). Odd is used if there's a single sharp peak, even is used if the peak is two pixels.

positiveOnly

boolean positiveOnly

If mean-shift will only consider positive values in the intensity function

Package boofcv.factory.feature.detect.selector

Class boofcv.factory.feature.detect.selector.ConfigSelectLimit

class ConfigSelectLimit extends Object implements Serializable

Serialized Fields

randomSeed

long randomSeed

Random seed used by RANDOM selector

type

SelectLimitTypes type

Specified which selector to use

uniform

ConfigGridUniform uniform

Configuration used by Uniform selector

Package boofcv.factory.fiducial

Class boofcv.factory.fiducial.ConfigAztecCode

class ConfigAztecCode extends Object implements Serializable

Serialized Fields

considerTransposed

boolean considerTransposed

If true it will consider transposed markers, i.e. mirror image. Set to false if you know your markers are standard compliant and want a modest speed boost.

maxOrientationError

int maxOrientationError

Maximum number of incorrect readings in orientation pattern that are accepted. max 12 for compact. 16 for full-range. Full-range includes reference grid.

polygon

ConfigPolygonDetector polygon

Configuration for polygon detector that's used to find position patterns

threshold

ConfigThreshold threshold

Specifies how images are thresholded and converted into a binary format

Class boofcv.factory.fiducial.ConfigFiducialBinary

class ConfigFiducialBinary extends Object implements Serializable

Serialized Fields

ambiguousThreshold

double ambiguousThreshold

Value from 0 to 1. 0 is very strict and 1 is very relaxed. Used when classifying a require block as black or white. If it can't be classified then the shape is discarded

borderWidthFraction

double borderWidthFraction

How wide the border is relative to the total fiducial width. 0.25 is standard and is a good compromise between ability to view at extreme angles and area to encode information.

gridWidth

int gridWidth

Number of elements wide the encoded grid is. Grids widths of 3, 4, or 5 are common. 4 is the standard.

minimumBlackBorderFraction

double minimumBlackBorderFraction

Fraction of border pixels which must be black.

squareDetector

ConfigPolygonDetector squareDetector

Configuration for square detector NOTE: Number of sides, clockwise, and convex are all set by the detector in its consturctor. Values specified here are ignored.

targetWidth

double targetWidth

Length of a targets size in world units.

Class boofcv.factory.fiducial.ConfigFiducialHammingDetector

class ConfigFiducialHammingDetector extends Object implements Serializable

Serialized Fields

ambiguousPenaltyFrac

double ambiguousPenaltyFrac

How much ambiguous bits increase the hamming error by. Their count is scaled by this much.

configThreshold

ConfigThreshold configThreshold

minimumBlackBorderFraction

double minimumBlackBorderFraction

Fraction of border pixels which must be black.

squareDetector

ConfigPolygonDetector squareDetector

Configuration for square detector NOTE: Number of sides, clockwise, and convex are all set by the detector in its consturctor. Values specified here are ignored.

Class boofcv.factory.fiducial.ConfigFiducialImage

class ConfigFiducialImage extends Object implements Serializable

Serialized Fields

borderWidthFraction

double borderWidthFraction

How wide the border is relative to the total fiducial width. 0.25 is standard and is a good compromise between ability to view at extreme angles and area to encode information.

maxErrorFraction

double maxErrorFraction

If the difference between an candidate and a target is less than this amount it is considered a match.

minimumBlackBorderFraction

double minimumBlackBorderFraction

Fraction of border pixels which must be black.

squareDetector

ConfigPolygonDetector squareDetector

Configuration for square detector NOTE: Number of sides, clockwise, and convex are all set by the detector in its consturctor. Values specified here are ignored.

Class boofcv.factory.fiducial.ConfigHammingChessboard

class ConfigHammingChessboard extends Object implements Serializable

Serialized Fields

chessboardEven

boolean chessboardEven

If an even pattern then the top-left will always be a black square

markerOffset

int markerOffset

The first marker will have this ID

markers

ConfigHammingMarker markers

Describes the markers are drawn inside the chessboard pattern

markerScale

double markerScale

How much smaller the marker is relative to the chessboard squares

numCols

int numCols

Number of squares wide the grid is

numRows

int numRows

Number of squares tall the grid is

squareSize

double squareSize

Size of a square in document units

Class boofcv.factory.fiducial.ConfigHammingGrid

class ConfigHammingGrid extends Object implements Serializable

Serialized Fields

markerOffset

int markerOffset

The first marker will have this ID

markers

ConfigHammingMarker markers

Encoding dictionary for binary patterns

numCols

int numCols

Number of squares wide the grid is

numRows

int numRows

Number of squares tall the grid is

spaceToSquare

double spaceToSquare

How wide the space is between squares relative to the length of a square

squareSize

double squareSize

Size of a square in document units

Class boofcv.factory.fiducial.ConfigHammingMarker

class ConfigHammingMarker extends Object implements Serializable

Serialized Fields

borderWidthFraction

double borderWidthFraction

How wide the border is relative to the total fiducial width. Typically, the width of one square.

dictionary

HammingDictionary dictionary

Which dictionary is this based off of. Typically, this will be pre-defined.

encoding

FastArray<ConfigHammingMarker.Marker> encoding

How each marker is encoded

gridWidth

int gridWidth

Number of cells along each side in the binary grid

minimumHamming

int minimumHamming

The minimum hamming distance separating two markers

targetWidth

double targetWidth

Length of a targets size in world units.

Class boofcv.factory.fiducial.ConfigLlah

class ConfigLlah extends Object implements Serializable

Serialized Fields

hashTableSize

int hashTableSize

Size of the hash table

hashType

ConfigLlah.HashType hashType

Type of invariant used to compute the hash code

numberOfNeighborsN

int numberOfNeighborsN

Number of nearest neighbors it will search for

quantizationK

int quantizationK

Level of quantization of the invariant

sizeOfCombinationM

int sizeOfCombinationM

Size of combination set from the set of neighbors

Class boofcv.factory.fiducial.ConfigMicroQrCode

class ConfigMicroQrCode extends Object implements Serializable

Serialized Fields

considerTransposed

boolean considerTransposed

If true it will consider QR codes which have been incorrectly encoded with transposed bits. Set to false if you know your markers are standard compliant and want a modest speed boost.

defaultEncoding

String defaultEncoding

Fore BYTE mode, if the auto encoding detection decides it's not UTF-8 then it will use this encoding. Depending on which QR code standard you are following (few people follow either) it should be EciEncoding.ISO8859_1 or EciEncoding.JIS.

forceEncoding

@Nullable String forceEncoding

If not null, then when decoding BYTE mode data it will always use this encoding. This can be desirable if the automatic encoding detection is making a mistake or if you know the data is binary. For binary data you should set this to EciEncoding.BINARY.

ignorePaddingBytes

boolean ignorePaddingBytes

This turns off the check to ensure padding bytes have the expected pattern. This was added due to a bug in a popular encoder where for messages of a certain length it would be off by one. Since no data is encoded in the padding and bugs are so common in encoders, by default we will ignore the padding.

polygon

ConfigPolygonDetector polygon

Configuration for polygon detector that's used to find position patterns

threshold

ConfigThreshold threshold

Specifies how images are thresholded and converted into a binary format

Class boofcv.factory.fiducial.ConfigQrCode

class ConfigQrCode extends Object implements Serializable

Serialized Fields

considerTransposed

boolean considerTransposed

If true it will consider QR codes which have been incorrectly encoded with transposed bits. Set to false if you know your markers are standard compliant and want a modest speed boost.

defaultEncoding

String defaultEncoding

Fore BYTE mode, if the auto encoding detection decides it's not UTF-8 then it will use this encoding. Depending on which QR code standard you are following (few people follow either) it should be EciEncoding.ISO8859_1 or EciEncoding.JIS.

forceEncoding

@Nullable String forceEncoding

If not null, then when decoding BYTE mode data it will always use this encoding. This can be desirable if the automatic encoding detection is making a mistake or if you know the data is binary. For binary data you should set this to EciEncoding.BINARY.

ignorePaddingBytes

boolean ignorePaddingBytes

This turns off the check to ensure padding bytes have the expected pattern. This was added due to a bug in a popular encoder where for messages of a certain length it would be off by one. Since no data is encoded in the padding and bugs are so common in encoders, by default we will ignore the padding.

polygon

ConfigPolygonDetector polygon

Configuration for polygon detector that's used to find position patterns

threshold

ConfigThreshold threshold

Specifies how images are thresholded and converted into a binary format

versionMaximum

int versionMaximum

versionMinimum

int versionMinimum

Minimum and maximum assumed version of QR Codes. Can be used to reduce false positives, slightly.

Class boofcv.factory.fiducial.ConfigUchiyaMarker

class ConfigUchiyaMarker extends Object implements Serializable

Serialized Fields

checkEdge

ConfigEllipseEdgeCheck checkEdge

Parameters for checking the intensity of the contour along an ellipse. When using adaptive thresholding there can be a lot of false positives

contourMaximumLength

ConfigLength contourMaximumLength

Maximum number of pixels in the contour to consider. Used to filter out weird excessively large shapes

contourMinimumLength

ConfigLength contourMinimumLength

Minimum number of pixels in the contour to consider

contourRule

ConnectRule contourRule

Pixel connectivity rule for blob/contour finder.

llah

ConfigLlah llah

Defines the feature descriptor

markerHeight

double markerHeight

Specifies the marker's height. This must match width used to generate the random dots.

markerWidth

double markerWidth

Specifies the marker's width. This must match width used to generate the random dots.

maxDistanceFromEllipse

double maxDistanceFromEllipse

Detector: maximum distance from the ellipse in pixels

maxMajorToMinorRatio

double maxMajorToMinorRatio

The maximum ratio between the major to minor ratio

minimumMinorAxis

ConfigLength minimumMinorAxis

Minimum number of pixels in the minor axis. Relative to (w+h)/2

ransac

ConfigRansac ransac

Configures RANSAC used to fit the homography. You might need to tune this.

threshold

ConfigThreshold threshold

Specifies how images are thresholded and converted into a binary format

Package boofcv.factory.filter.binary

Class boofcv.factory.filter.binary.ConfigThreshold

class ConfigThreshold extends Object implements Serializable

Serialized Fields

down

boolean down

If true then it thresholds down

fixedThreshold

double fixedThreshold

The threshold to apply to the image. Only valid for fixed threshold.

maxPixelValue

int maxPixelValue

Maximum pixel value. Only used for some algorithms.

minPixelValue

int minPixelValue

Minimum pixel value. Only used for some algorithms.

niblackK

float niblackK

Positive parameter used to tune threshold in members of the Niblack family. Try 0.3 or 0.5

See Also:

• ThresholdType.LOCAL_NIBLACK
• ThresholdType.LOCAL_SAVOLA
• ThresholdType.LOCAL_WOLF

nickK

float nickK

Threshold for NICK. -0.1 to -0.2 is recommended

See Also:

• ThresholdType.LOCAL_NICK

scale

double scale

Scale factor applied to computed threshold. Only used with adaptive techniques. 0.95 is a good starting value when tuning. It will remove much of the noise in nearly uniform regions without degrading interesting features by much.

thresholdFromLocalBlocks

boolean thresholdFromLocalBlocks

If a block threshold is being used then this indicates if the threshold should be computed using a local 3x3 block region (true) or just one block (false). The local region should result in a less abrupt change in threshold.

type

ThresholdType type

Which algorithm to use

width

ConfigLength width

Radius of adaptive threshold. If relative then it's relative to the min(width,height) of the image

Class boofcv.factory.filter.binary.ConfigThresholdBlockMinMax

class ConfigThresholdBlockMinMax extends ConfigThreshold implements Serializable

Serialized Fields

minimumSpread

double minimumSpread

If the lower and upper histogram values are different by less than or equal to this amount it is considered a textureless region. Set to a value <= -1 to disable.

Class boofcv.factory.filter.binary.ConfigThresholdLocalOtsu

class ConfigThresholdLocalOtsu extends ConfigThreshold implements Serializable

Serialized Fields

tuning

double tuning

Tuning parameter that will make it harder for pixels to be marked in low texture regions. 0 = regular Otsu. Try 15 when tuning.

See Also:

• ThresholdBlockOtsu

useOtsu2

boolean useOtsu2

If true it will use Otsu 2. Produce much better results in binary or nearly binary images.

See Also:

• GThresholdImageOps.computeOtsu2(int[], int, int)

Package boofcv.factory.flow

Class boofcv.factory.flow.ConfigHornSchunck

class ConfigHornSchunck extends Object implements Serializable

Serialized Fields

alpha

float alpha

Larger values place more importance on flow smoothness consistency over brightness consistency. Try 20

numIterations

int numIterations

Number of iterations. Try 1000

Class boofcv.factory.flow.ConfigHornSchunckPyramid

class ConfigHornSchunckPyramid extends Object implements Serializable

Serialized Fields

alpha

float alpha

Weights importance of image brightness error and velocity smoothness. Larger values which prefer a smooth flow.

convergeTolerance

float convergeTolerance

Convergence tolerance for inner loop. Specified in per pixel error.

interpolation

InterpolationType interpolation

Type of interpolation used. Bilinear recommended

maxInnerIterations

int maxInnerIterations

Maximum number of iterations in the inner loop.

numWarps

int numWarps

Number of warps which it will apply.

pyrMaxLayers

int pyrMaxLayers

Maximum number of layers in the pyramid

pyrScale

double pyrScale

Change in scale between each layer. Try 0.7

pyrSigma

double pyrSigma

Amount of blur applied to each layer in the pyramid. If sigma ≤ 0 then no blur is applied.

SOR_RELAXATION

float SOR_RELAXATION

SOR relaxation parameter.

Class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid

class ConfigOpticalFlowBlockPyramid extends Object implements Serializable

Serialized Fields

maxPerPixelError

int maxPerPixelError

Maximum error allowed per pixel. Default is 30

maxPyramidLayers

int maxPyramidLayers

The maximum number of layers in the pyramid

pyramidScale

double pyramidScale

Difference in scale between layers in the pyramid. A value of 1 means a single layer.

regionRadius

int regionRadius

Radius of the square region

searchRadius

int searchRadius

Radius of the search area

Package boofcv.factory.geo

Class boofcv.factory.geo.ConfigBundleAdjustment

class ConfigBundleAdjustment extends Object implements Serializable

Serialized Fields

loss

ConfigLoss loss

Robust loss function. Defaults to no loss function

optimizer

ConfigNonLinearLeastSquares optimizer

Used to specify which optimization routine to use and how to configure it.

See Also:

• ConfigLevenbergMarquardt
• ConfigTrustRegion

Class boofcv.factory.geo.ConfigEssential

class ConfigEssential extends Object implements Serializable

Serialized Fields

errorModel

ConfigEssential.ErrorModel errorModel

If computed robustly this specifies the error model that's used to prune outliers

numResolve

int numResolve

How many points should be used to resolve ambiguity in the solutions?

which

EnumEssential which

Which algorithm should it use. Only use essential matrix ones.

Class boofcv.factory.geo.ConfigFundamental

class ConfigFundamental extends Object implements Serializable

Serialized Fields

errorModel

ConfigFundamental.ErrorModel errorModel

If computed robustly this specifies the error model that's used to prune outliers

numResolve

int numResolve

How many points should be used to resolve ambiguity in the solutions?

which

EnumFundamental which

Which algorithm should it use.

Class boofcv.factory.geo.ConfigHomography

class ConfigHomography extends Object implements Serializable

Serialized Fields

normalize

boolean normalize

If the input is in pixel coordinates then this should be true. If in normalized image coordinates then it can be false.

Class boofcv.factory.geo.ConfigLMedS

class ConfigLMedS extends Object implements Serializable

Serialized Fields

errorFraction

double errorFraction

The error fraction it's optimized against

randSeed

long randSeed

Random seed that's used internally

totalCycles

int totalCycles

Number of cycles it will perform when minimizing the median error. TUNE THIS

Class boofcv.factory.geo.ConfigPixelsToMetric

class ConfigPixelsToMetric extends Object implements Serializable

Serialized Fields

dualQuadratic

ConfigSelfCalibDualQuadratic dualQuadratic

essentialGuess

ConfigSelfCalibEssentialGuess essentialGuess

practicalGuess

ConfigSelfCalibPracticalGuess practicalGuess

trifocal

ConfigTrifocal trifocal

Configuration for estimating the trifocal tensor

type

ConfigPixelsToMetric.Type type

Which algorithm to use. The default will change as the recommended best approach is updated.

Class boofcv.factory.geo.ConfigPnP

class ConfigPnP extends Object implements Serializable

Serialized Fields

epnpIterations

int epnpIterations

Number of iterations for EPNP. Ignored by everything else

numResolve

int numResolve

How many points should be used to resolve ambiguity in the solutions?

which

EnumPNP which

Which algorithm should it use. Only use essential matrix ones.

Class boofcv.factory.geo.ConfigRansac

class ConfigRansac extends Object implements Serializable

Serialized Fields

inlierThreshold

double inlierThreshold

Inlier threshold.

iterations

int iterations

Maximum number of iterations RANSAC will perform

randSeed

long randSeed

Random seed that's used internally

Class boofcv.factory.geo.ConfigSelfCalibDualQuadratic

class ConfigSelfCalibDualQuadratic extends Object implements Serializable

Serialized Fields

aspectRatio

double aspectRatio

The assumed aspect ratio. Only used if ConfigSelfCalibDualQuadratic.knownAspectRatio is true

invalidFractionAccept

double invalidFractionAccept

Maximum fraction of invalid observations it will accept before failing

knownAspectRatio

boolean knownAspectRatio

The aspect ratio is assumed to be known, e.g. fy = ratio*fx;

refineAlgebraic

ConfigConverge refineAlgebraic

Performs non-linear refinement minimizing a algebraic cost function

zeroSkew

boolean zeroSkew

The skew is assumed to be zero

Class boofcv.factory.geo.ConfigSelfCalibEssentialGuess

class ConfigSelfCalibEssentialGuess extends Object implements Serializable

Serialized Fields

fixedFocus

boolean fixedFocus

if true the focus is assumed to be the same for the first two images

numberOfSamples

int numberOfSamples

Number of focal length values it will sample for each camera. 200 is better but is slow

sampleMax

double sampleMax

Specifies the lower and upper limit for focal lengths it will consider. Relative to image max(width,height)

sampleMin

double sampleMin

Specifies the lower and upper limit for focal lengths it will consider. Relative to image max(width,height)

Class boofcv.factory.geo.ConfigSelfCalibPracticalGuess

class ConfigSelfCalibPracticalGuess extends Object implements Serializable

Serialized Fields

fixedFocus

boolean fixedFocus

if true the focus is assumed to be the same for the first two images

numberOfSamples

int numberOfSamples

Number of focal length values it will sample for each camera. 200 is better but is slow

sampleMax

double sampleMax

Specifies the lower and upper limit for focal lengths it will consider. Relative to image shape

sampleMin

double sampleMin

Specifies the lower and upper limit for focal lengths it will consider. Relative to image shape

Class boofcv.factory.geo.ConfigThreeViewRefine

class ConfigThreeViewRefine extends Object implements Serializable

Serialized Fields

converge

ConfigConverge converge

Convergence criteria

normalizePixels

boolean normalizePixels

If true pixel coordinates will be normalized using LowLevelMultiViewOps. Set to false only if pixels have already been scaled.

which

ConfigThreeViewRefine.Algorithm which

Specifies which algorithm to apply

Class boofcv.factory.geo.ConfigTriangulation

class ConfigTriangulation extends Object implements Serializable

Serialized Fields

converge

ConfigConverge converge

If an iterative technique is selected this is the convergence criteria

type

ConfigTriangulation.Type type

Which algorithm to use

Class boofcv.factory.geo.ConfigTrifocal

class ConfigTrifocal extends Object implements Serializable

Serialized Fields

converge

ConfigConverge converge

If an iterative method was selected, this specifies the convergence criteria

which

EnumTrifocal which

Which method to use

Class boofcv.factory.geo.ConfigTrifocalError

class ConfigTrifocalError extends Object implements Serializable

Serialized Fields

converge

ConfigConverge converge

If an iterative method was selected, this specifies the convergence criteria

model

ConfigTrifocalError.Model model

How to compute the error

Package boofcv.factory.segmentation

Class boofcv.factory.segmentation.ConfigFh04

class ConfigFh04 extends Object implements Serializable

Serialized Fields

approximateSortBins

int approximateSortBins

If set to a value larger than 0 then an approximate sorting routine will be used. This improves speed by about 40%. A value of 2000 is recommended.

connectRule

ConnectRule connectRule

Connection rule used to connect regions. ConnectRule.EIGHT was using in the original paper.

K

float K

Tuning parameter. Larger regions are preferred for larger values of K. Try 100

minimumRegionSize

int minimumRegionSize

Minimum allowed size of a region.

Class boofcv.factory.segmentation.ConfigSegmentMeanShift

class ConfigSegmentMeanShift extends Object implements Serializable

Serialized Fields

colorRadius

float colorRadius

Radius of mean-shift region for color in Euclidean distance. For 8bit RGB color space try 15

connectRule

ConnectRule connectRule

Connection rule when segmenting disconnected regions. Try FOUR

fast

boolean fast

Improve runtime by approximating running mean-shift on each pixel. Try true.

minimumRegionSize

int minimumRegionSize

Minimum allowed size of a region in pixels. Try 30

spacialRadius

int spacialRadius

Radius of mean-shift region in pixels. Try 6

Class boofcv.factory.segmentation.ConfigSlic

class ConfigSlic extends Object implements Serializable

Serialized Fields

connectRule

ConnectRule connectRule

Connection rule that is used when merging small regions.

numberOfRegions

int numberOfRegions

Number of regions which will be initially seeded. The actually number of regions at the end will vary a bit due to merging of small regions and the image border.

spacialWeight

float spacialWeight

Larger values place more weight on the spacial component. For 8-bit RGB a value of 200 works well.

totalIterations

int totalIterations

Number of mean-shift iterations. Typically has converged by 10 iterations.

Class boofcv.factory.segmentation.ConfigWatershed

class ConfigWatershed extends Object implements Serializable

Serialized Fields

connectRule

ConnectRule connectRule

Connectivity rule

minimumRegionSize

int minimumRegionSize

Regions which are smaller than this are merged into a neighbor. Regions which have a similar color are merged together.

Package boofcv.factory.sfm

Class boofcv.factory.sfm.ConfigBundleUtils

class ConfigBundleUtils extends Object implements Serializable

Serialized Fields

converge

ConfigConverge converge

Configures convergence criteria for SBA

homogenous

boolean homogenous

Should it use homogenous coordinates for points or 3D Cartesian?

keepFraction

double keepFraction

Optional second pass where outliers observations. Fraction specifies that the best X fraction are kept.

scale

boolean scale

Toggles on and off scaling parameters

triangulation

ConfigTriangulation triangulation

Specifies which triangulation approach to use

Class boofcv.factory.sfm.ConfigKeyFrameManager

class ConfigKeyFrameManager extends Object implements Serializable

Serialized Fields

geoMinCoverage

double geoMinCoverage

For MaxGeoKeyFrameManager only. When coverage drops below this number a new keyframe is created. 0.0 to 1.0

tickPeriod

int tickPeriod

For TickTockKeyFrameManager only. Period at which new keyframes are created.

type

ConfigKeyFrameManager.Type type

Specifies the specific algorithm.

Class boofcv.factory.sfm.ConfigMultiviewStereo

class ConfigMultiviewStereo extends Object implements Serializable

Serialized Fields

disparityErrorThresholdScale

double disparityErrorThresholdScale

MultiBaselineStereoIndependent.disparityErrorThresholdScale

maxCombinePairs

int maxCombinePairs

MultiViewStereoFromKnownSceneStructure.maxCombinePairs

maximumCenterOverlap

double maximumCenterOverlap

MultiViewStereoFromKnownSceneStructure.maximumCenterOverlap

minimumQuality3D

double minimumQuality3D

MultiViewStereoFromKnownSceneStructure.minimumQuality3D

Class boofcv.factory.sfm.ConfigPlanarTrackPnP

class ConfigPlanarTrackPnP extends Object implements Serializable

Serialized Fields

ransac

ConfigRansac ransac

Configuration for RANSAC. Used to robustly estimate frame-to-frame motion

thresholdAdd

int thresholdAdd

hen the inlier set is less than this number new features are detected

thresholdPixelError

double thresholdPixelError

maximum allowed pixel error. Used for determining which tracks are inliers/outliers

thresholdRetire

int thresholdRetire

discard tracks after they have not been in the inlier set for this many updates in a row

tracker

ConfigPointTracker tracker

Tracker configuration for left camera

Class boofcv.factory.sfm.ConfigRgbDepthTrackPnP

class ConfigRgbDepthTrackPnP extends Object implements Serializable

Serialized Fields

depthScale

double depthScale

Used to adjust units in the depth image to something more manageable. E.g. millimeters to meters

scene

ConfigVisOdomTrackPnP scene

Configuration for building and optimizing a local scene

tracker

ConfigPointTracker tracker

Tracker configuration for left camera

Class boofcv.factory.sfm.ConfigStereoDualTrackPnP

class ConfigStereoDualTrackPnP extends Object implements Serializable

Serialized Fields

epipolarTol

double epipolarTol

Tolerance for matching stereo features along epipolar line in Pixels

scene

ConfigVisOdomTrackPnP scene

Configuration for building and optimizing a local scene

stereoDescribe

ConfigDescribeRegion stereoDescribe

Feature descriptor for stereo association

stereoRadius

double stereoRadius

Radius used when computing feature descriptors for stereo matching

tracker

ConfigPointTracker tracker

Used to track features in each camera independently

Class boofcv.factory.sfm.ConfigStereoMonoTrackPnP

class ConfigStereoMonoTrackPnP extends Object implements Serializable

Serialized Fields

disparity

ConfigDisparityBM disparity

Configuration for stereo disparity calculation

scene

ConfigVisOdomTrackPnP scene

Configuration for building and optimizing a local scene

tracker

ConfigPointTracker tracker

Tracker configuration for left camera

Class boofcv.factory.sfm.ConfigStereoQuadPnP

class ConfigStereoQuadPnP extends Object implements Serializable

Serialized Fields

associateF2F

ConfigAssociate associateF2F

Association approach for matching frames across time steps

associateL2R

ConfigAssociateGreedy associateL2R

Association approach for matching stereo pairs

bundle

ConfigBundleAdjustment bundle

Configuration for Bundle Adjustment

bundleConverge

ConfigConverge bundleConverge

Convergence criteria for bundle adjustment. Set max iterations to ≤ 0 to disable

detectDescribe

ConfigDetectDescribe detectDescribe

Which feature detector / descriptor should it use

epipolarTol

double epipolarTol

Tolerance for matching stereo features along epipolar line in Pixels

pnp

EnumPNP pnp

Which PNP solution to use

ransac

ConfigRansac ransac

Configuration for RANSAC. Used to robustly estimate frame-to-frame motion

refineIterations

int refineIterations

Number of iterations to perform when refining the initial frame-to-frame motion estimate. Disable ≤ 0

Class boofcv.factory.sfm.ConfigVisOdomTrackPnP

class ConfigVisOdomTrackPnP extends Object implements Serializable

Serialized Fields

bundle

ConfigBundleAdjustment bundle

Configuration for Bundle Adjustment

bundleConverge

ConfigConverge bundleConverge

Convergence criteria for bundle adjustment. Set max iterations to ≤ 0 to disable

bundleMaxFeaturesPerFrame

int bundleMaxFeaturesPerFrame

Maximum number of features optimized in bundle adjustment per key frame. This is a very good way to limit the amount of CPU used. If not positive then unlimited. ≤ 0 to disable.

bundleMinObservations

int bundleMinObservations

Minimum number of observations a track must have before it is included in bundle adjustment. Has to be ≥ 2 and it's strongly recommended that this is set to 3 or higher. Due to ambiguity along epipolar lines there can be lots of false positives with just two views. With three views there is a unique solution and that tends to remove most false positives.

dropOutlierTracks

int dropOutlierTracks

Drop tracks if they have been outliers for this many frames in a row

keyframes

ConfigKeyFrameManager keyframes

Specifies when a new key frame is created

maxKeyFrames

int maxKeyFrames

Maximum number of key frames it will save. Must be at least 4

pnp

EnumPNP pnp

Which PNP solution to use

ransac

ConfigRansac ransac

Configuration for RANSAC. Used to robustly estimate frame-to-frame motion

refineIterations

int refineIterations

Number of iterations to perform when refining the initial frame-to-frame motion estimate. Disable ≤ 0

Package boofcv.factory.shape

Class boofcv.factory.shape.ConfigEllipseDetector

class ConfigEllipseDetector extends Object implements Serializable

Serialized Fields

checkRadialDistance

double checkRadialDistance

Check:
Tangential distance away from contour the image is sampled when performing edge intensity check.

contourRule

ConnectRule contourRule

Pixel connectivity rule for blob/contour finder.

convergenceTol

double convergenceTol

Refinement: when the difference between two ellipses is less than this amount stop iterating

maxDistanceFromEllipse

double maxDistanceFromEllipse

Detector: maximum distance from the ellipse in pixels

maximumContour

ConfigLength maximumContour

Detector: maximum number of pixels in the contour.

See Also:

• BinaryContourInterface.setMaxContour(ConfigLength)

maxIterations

int maxIterations

Refinement: maximum number of refinement iterations. Set to zero to disable

maxMajorToMinorRatio

double maxMajorToMinorRatio

The maximum ratio between the major to minor ratio

minimumContour

ConfigLength minimumContour

Detector: minimum number of pixels in the contour.

See Also:

• BinaryContourInterface.setMinContour(ConfigLength)

minimumEdgeIntensity

double minimumEdgeIntensity

Check:
Threshold for minimum edge intensity. This should be a value which is 0 to (max-min pixel value) Set to ≤ 0 to disable check.

minimumMinorAxis

ConfigLength minimumMinorAxis

Minimum number of pixels in the minor axis. Relative to (w+h)/2

numSampleContour

int numSampleContour

Refinement: how many points along the contour it will sample. Set to ≤ 0 to disable refinement

processInternal

boolean processInternal

Detector: If true it will consider internal contours and not just external

refineRadialSamples

int refineRadialSamples

Refinement:
Determines the number of points sampled radially outwards from the line Total intensity values sampled at each point along the line is radius*2+2, and points added to line fitting is radius*2+1.

Class boofcv.factory.shape.ConfigEllipseEdgeCheck

class ConfigEllipseEdgeCheck extends Object implements Serializable

Serialized Fields

checkRadialDistance

double checkRadialDistance

Check:
Tangential distance away from contour the image is sampled when performing edge intensity check.

minimumEdgeIntensity

double minimumEdgeIntensity

Check:
Threshold for minimum edge intensity. This should be a value which is 0 to (max-min pixel value) Set to ≤ 0 to disable check.

numSampleContour

int numSampleContour

Refinement: how many points along the contour it will sample. Set to ≤ 0 to disable refinement

Class boofcv.factory.shape.ConfigPolygonDetector

class ConfigPolygonDetector extends Object implements Serializable

Serialized Fields

adjustForThresholdBias

boolean adjustForThresholdBias

Because of how a binary image is created the contour is biases along some sided. This algorithm will adjust the polygon computed directly from a contour to remove that bias.

detector

ConfigPolygonFromContour detector

Configuration for detecting polygons from their contour

minimumRefineEdgeIntensity

double minimumRefineEdgeIntensity

The minimum allowed edge intensity for a shape after refinement. Used to remove false positives generated by noise, which is especially common when using a local threshold during binarization.

Set to zero to disable.

See Also:

• EdgeIntensityPolygon

refineContour

boolean refineContour

If true then a contour based refinement will be run to improve the polygon estimate.

refineGray

@Nullable ConfigRefinePolygonLineToImage refineGray

Configuration for sub-pixel refinement of line. If null then this step is skipped.

Class boofcv.factory.shape.ConfigPolygonFromContour

class ConfigPolygonFromContour extends Object implements Serializable

Serialized Fields

canTouchBorder

boolean canTouchBorder

If false then polygons which touch the image border are pruned

clockwise

boolean clockwise

Will the found polygons be in clockwise order?

contourRule

ConnectRule contourRule

Connect rule for contour finding in binary image.

contourToPoly

BaseConfigPolyline contourToPoly

Configuration for fitting a polygon to the contour.

maximumContour

ConfigLength maximumContour

Specifies the maximum allowed contour length. Relative lengths will be relative with to the image's sqrt(width*height).

minimumContour

ConfigLength minimumContour

Specifies the minimum allowed contour length. Relative lengths will be relative with to the image's sqrt(width*height).

minimumEdgeIntensity

double minimumEdgeIntensity

The minimum allowed edge intensity for a shape. Used to remove false positives generated by noise, which is especially common when using a local threshold during binarization.

Set to zero to disable.

See Also:

• EdgeIntensityPolygon

tangentEdgeIntensity

double tangentEdgeIntensity

Tangential distance away in pixels from the contour that the edge intensity is sampled.

Class boofcv.factory.shape.ConfigRefinePolygonLineToImage

class ConfigRefinePolygonLineToImage extends Object implements Serializable

Serialized Fields

convergeTolPixels

double convergeTolPixels

Convergence tolerance in pixels

cornerOffset

double cornerOffset

How far away in pixels it will start sampling the line from a corner. Corners can become highly aliased with ambiguous borders.

lineSamples

int lineSamples

Number of times along the line it will be sampled

maxCornerChangePixel

double maxCornerChangePixel

Maximum number of pixels a corner can be adjusted in a single iteration. This becomes important with very small shapes and can prevent divergence.

maxIterations

int maxIterations

Maximum number of iterations

sampleRadius

int sampleRadius

Number of points tangent to the line in each direction it samples. In total the number of samples along a line will be lineSamples*(2*sampleRadius+1)

Class boofcv.factory.shape.ConfigSplitMergeLineFit

class ConfigSplitMergeLineFit extends BaseConfigPolyline implements Serializable

Serialized Fields

iterations

int iterations

Deprecated.

Number of split and merge iterations when converting contour into polygon

loop

boolean loop

Deprecated.

Does the contour loop?

minimumSide

ConfigLength minimumSide

Deprecated.

The minimum allowed length of a side as a fraction of the total contour length

pruneSplitPenalty

double pruneSplitPenalty

Deprecated.

If a split adds too much energy to the contour it will be pruned. Disable by setting to a value ≤ 0

See Also:

• MinimizeEnergyPrune

refine

int refine

Deprecated.

Number of refine iterations. Set to 0 to disable.

See Also:

• RefinePolyLineCorner

splitFraction

double splitFraction

Deprecated.

A line is split if a point along the contour between the two end points has a distance from the line which is greater than this fraction of the line's length

Package boofcv.factory.structure

Class boofcv.factory.structure.ConfigEpipolarScore3D

class ConfigEpipolarScore3D extends Object implements Serializable

Serialized Fields

fundamental

ConfigFundamental fundamental

Configuration for computing fundamental matrix

ransacF

ConfigRansac ransacF

RANSAC for fundamental matrix

type

ConfigEpipolarScore3D.Type type

Which algorithm it should use

typeCompatible

ConfigEpipolarScore3D.FundamentalCompatible typeCompatible

Configuration used if ConfigEpipolarScore3D.Type.FUNDAMENTAL_COMPATIBLE is selected

typeInliers

ConfigEpipolarScore3D.ModelInliers typeInliers

Configuration used if ConfigEpipolarScore3D.Type.MODEL_INLIERS is selected

typeRotation

ConfigEpipolarScore3D.FundamentalRotation typeRotation

Configuration used if ConfigEpipolarScore3D.Type.FUNDAMENTAL_ROTATION is selected

Class boofcv.factory.structure.ConfigEpipolarScore3D.FundamentalCompatible

class FundamentalCompatible extends Object implements Serializable

Serialized Fields

inlierErrorTol

double inlierErrorTol

ScoreFundamentalHomographyCompatibility.inlierErrorTol

maxRatioScore

double maxRatioScore

ScoreFundamentalHomographyCompatibility.maxRatioScore

minimumInliers

ConfigLength minimumInliers

The minimum number of inliers for an edge to be accepted. If relative, then relative to pairs.

ratio3D

double ratio3D

ScoreFundamentalHomographyCompatibility.ratio3D

Class boofcv.factory.structure.ConfigEpipolarScore3D.FundamentalRotation

class FundamentalRotation extends Object implements Serializable

Serialized Fields

inlierErrorTol

double inlierErrorTol

ScoreFundamentalVsRotation.inlierErrorTol

maxRatioScore

double maxRatioScore

ScoreFundamentalVsRotation.maxRatioScore

minimumInliers

ConfigLength minimumInliers

The minimum number of inliers for an edge to be accepted. If relative, then relative to pairs.

ratio3D

double ratio3D

ScoreFundamentalVsRotation.ratio3D

Class boofcv.factory.structure.ConfigEpipolarScore3D.ModelInliers

class ModelInliers extends Object implements Serializable

Serialized Fields

homography

ConfigHomography homography

Configuration for computing Homography matrix

maxRatioScore

double maxRatioScore

Caps how much influence the geometric score can have. The error ratio can sky rocket as the baseline increased but the benefit doesn't seem to increase after a point.

minimumInliers

ConfigLength minimumInliers

The minimum number of inliers for an edge to be accepted. If relative, then relative to pairs.

ransacH

ConfigRansac ransacH

RANSAC for fundamental Homography

ratio3D

double ratio3D

If number of matches from fundamental divided by homography is more than this then it is considered a 3D scene

Class boofcv.factory.structure.ConfigGeneratePairwiseImageGraph

class ConfigGeneratePairwiseImageGraph extends Object implements Serializable

Serialized Fields

score

ConfigEpipolarScore3D score

Configuration for how quality of 3D information between two views is scored

Class boofcv.factory.structure.ConfigGenerateStereoGraph

class ConfigGenerateStereoGraph extends Object implements Serializable

Serialized Fields

countSmootherParam

double countSmootherParam

Intended to stop small number of observations causing large swings in score. Larger means more smoothing.

minimumCommonFeaturesFrac

double minimumCommonFeaturesFrac

Minimum fraction for common features between the two frames

targetDisparity

double targetDisparity

If the predicted disparity is above this value the score will not improve.

Class boofcv.factory.structure.ConfigSelectFrames3D

class ConfigSelectFrames3D extends Object implements Serializable

Serialized Fields

associate

ConfigAssociate associate

Used to associate features between two images when recovering from a bad frame

describe

ConfigDescribeRegion describe

Used to describe the area around a feature track

featureRadius

ConfigLength featureRadius

Radius of the region used to compute the description. Might be ignored by descriptor.

historyLength

int historyLength

Number of recent frames it will save and consider when it needs to select a new key frame. 0=current frame only.

maxTranslation

ConfigLength maxTranslation

Force keyframe if motion is more than this pixels. Relative to max(width,height)

minimumPairs

int minimumPairs

Minimum number of features in an image before all hope is lost

minTranslation

ConfigLength minTranslation

A new keyframe can't be made until the motion is greater than this. Relative to max(width,height)

motionInlierPx

double motionInlierPx

Error for what is considered significant motion. Increase to skip for frames. Units: Pixels

scorer3D

ConfigEpipolarScore3D scorer3D

Configuration for determining if 2-views have a 3D relationship

skipEvidenceRatio

double skipEvidenceRatio

How much more numerous associated features need to be than tracks to be considered better. A value less than 1.0 turn off this check. 1.5 means 50% better.

thresholdQuick

double thresholdQuick

Ratio of outliers over all points. Used for quickly testing to see if there could be 3D motion. 0.0 = always true for 3D, 1.0 means 100% outliers for it to be 3D.

tracker

ConfigPointTracker tracker

Configuration for frame-to-frame image tracker

Class boofcv.factory.structure.ConfigSparseToDenseCloud

class ConfigSparseToDenseCloud extends Object implements Serializable

Serialized Fields

disparity

ConfigDisparity disparity

Specifies which stereo disparity and how to configure

graph

ConfigGenerateStereoGraph graph

Specifies how to create the stereo graph

mvs

ConfigMultiviewStereo mvs

Specifies how multiple stereo views are combined into a single stereo view

smoother

ConfigSpeckleFilter smoother

Specifies which disparity smoothing approach to use

Package boofcv.factory.tracker

Class boofcv.factory.tracker.ConfigPointTracker

class ConfigPointTracker extends Object implements Serializable

Serialized Fields

associate

ConfigAssociate associate

Association for detect and describe approach

dda

ConfigTrackerDda dda

Special configuration for DDA tracker

detDesc

ConfigDetectDescribe detDesc

Configuration for detectors and descriptors

hybrid

ConfigTrackerHybrid hybrid

Special configuration for hybrid tracker

klt

ConfigPKlt klt

Configuration for KLT. Detector is specified using detectorPoint.

typeTracker

ConfigPointTracker.TrackerType typeTracker

Specifies the tracking strategy used

Package boofcv.generate

Exception boofcv.generate.UnsupportedException

class UnsupportedException extends RuntimeException implements Serializable

Package boofcv.gui

Class boofcv.gui.ApplicationLauncherApp

class ApplicationLauncherApp extends JPanel implements Serializable

Serialized Fields

bKill

JButton bKill

bKillAll

JButton bKillAll

checkRemoveOnDeath

JCheckBox checkRemoveOnDeath

listModel

DefaultListModel<ApplicationLauncherApp.ActiveProcess> listModel

memoryMB

int memoryMB

outputPanel

JTabbedPane outputPanel

processes

List<ApplicationLauncherApp.ActiveProcess> processes

processList

JList<ApplicationLauncherApp.ActiveProcess> processList

tree

JTree tree

Class boofcv.gui.BoofLogo

class BoofLogo extends JPanel implements Serializable

Serialized Fields

radius

int radius

reverse

boolean reverse

Class boofcv.gui.ImageClassificationPanel

class ImageClassificationPanel extends JPanel implements Serializable

Serialized Fields

centerImage

ImagePanel centerImage

centerPanel

JLayeredPane centerPanel

listModel

DefaultListModel listModel

listPanel

JList listPanel

listScroll

JScrollPane listScroll

results

List<boofcv.gui.ImageClassificationPanel.Image> results

textArea

JTextArea textArea

Class boofcv.gui.ImageHistogramPanel

class ImageHistogramPanel extends JPanel implements Serializable

Serialized Fields

approximateHistogram

boolean approximateHistogram

bins

int[] bins

lock

Object lock

marker

int marker

maxValue

double maxValue

totalBins

int totalBins

Class boofcv.gui.ListDisplayPanel

class ListDisplayPanel extends JPanel implements Serializable

Serialized Fields

bodyHeight

int bodyHeight

bodyPanel

JPanel bodyPanel

bodyWidth

int bodyWidth

listModel

DefaultListModel listModel

listPanel

JList listPanel

panels

List<JComponent> panels

scroll

JScrollPane scroll

Class boofcv.gui.PanelGridPanel

class PanelGridPanel extends JPanel implements Serializable

Class boofcv.gui.PlotXyPanel

class PlotXyPanel extends JPanel implements Serializable

Serialized Fields

line

Line2D.Double line

maxY

double maxY

minY

double minY

offsetX

double offsetX

scaleX

double scaleX

valuesY

double[] valuesY

Class boofcv.gui.PointCloudViewerPanel

class PointCloudViewerPanel extends JPanel implements Serializable

Serialized Fields

controls

ControlPanelPointCloud controls

periodBaseline

double periodBaseline

translateBaseline

double translateBaseline

viewer

PointCloudViewer viewer

Class boofcv.gui.ProcessTabPanel

class ProcessTabPanel extends JPanel implements Serializable

Serialized Fields

bOpenInGitHub

JButton bOpenInGitHub

options

JComboBox<String> options

processId

long processId

Class boofcv.gui.SelectAlgorithmAndInputPanel

class SelectAlgorithmAndInputPanel extends JPanel implements Serializable

Serialized Fields

addedComponents

List<JComponent> addedComponents

algBoxes

JComboBox[] algBoxes

algCookies

List<Object>[] algCookies

baseDirectory

String baseDirectory

gui

Component gui

imageBox

JComboBox imageBox

inputImage

BufferedImage inputImage

inputRefs

List<PathLabel> inputRefs

media

MediaManager media

originalCheck

JCheckBox originalCheck

origPanel

ImagePanel origPanel

postAlgorithmEvents

boolean postAlgorithmEvents

toolbar

JToolBar toolbar

Class boofcv.gui.SelectAlgorithmPanel

class SelectAlgorithmPanel extends JPanel implements Serializable

Serialized Fields

algBox

JComboBox<String> algBox

algCookies

List<Object> algCookies

gui

Component gui

toolbar

JToolBar toolbar

Class boofcv.gui.SelectInputPanel

class SelectInputPanel extends SelectAlgorithmAndInputPanel implements Serializable

Class boofcv.gui.StandardAlgConfigPanel

class StandardAlgConfigPanel extends JPanel implements Serializable

Class boofcv.gui.ViewedImageInfoPanel

class ViewedImageInfoPanel extends StandardAlgConfigPanel implements Serializable

Serialized Fields

listener

ViewedImageInfoPanel.Listener listener

processingTimeLabel

JLabel processingTimeLabel

selectZoom

JSpinner selectZoom

textCursorX

JTextField textCursorX

textCursorY

JTextField textCursorY

textImageSize

JTextField textImageSize

zoom

double zoom

zoomInc

double zoomInc

zoomMax

double zoomMax

zoomMin

double zoomMin

Package boofcv.gui.binary

Class boofcv.gui.binary.HistogramThresholdPanel

class HistogramThresholdPanel extends ImageHistogramPanel implements Serializable

Serialized Fields

down

boolean down

threshold

double threshold

Package boofcv.gui.calibration

Class boofcv.gui.calibration.DisplayCalibrationPanel

class DisplayCalibrationPanel extends ImageZoomPanel implements Serializable

Serialized Fields

adj

Point2D_F32 adj

adj2

Point2D_F32 adj2

allObservations

@Nullable List<CalibrationObservation> allObservations

canonicalClickDistance

double canonicalClickDistance

ellipse

Ellipse2D.Double ellipse

errorScale

double errorScale

lightRed

Color lightRed

line

Line2D.Double line

observation

@Nullable CalibrationObservation observation

pixelTransform

Point2Transform2_F32 pixelTransform

rect

Rectangle2D.Double rect

results

@Nullable ImageResults results

selectedObservation

int selectedObservation

setScale

DisplayCalibrationPanel.SetScale setScale

showAll

boolean showAll

showErrors

boolean showErrors

showImageUnoccupied

boolean showImageUnoccupied

showNumbers

boolean showNumbers

showOrder

boolean showOrder

showPoints

boolean showPoints

showResiduals

boolean showResiduals

showUndistorted

boolean showUndistorted

unoccupied

DogArray<ScoreCalibrationFill.RegionInfo> unoccupied

Class boofcv.gui.calibration.DisplayFisheyeCalibrationPanel

class DisplayFisheyeCalibrationPanel extends DisplayCalibrationPanel implements Serializable

Serialized Fields

bufferedRendered

BufferedImage bufferedRendered

distorter

@Nullable NarrowToWidePtoP_F32 distorter

distortImage

ImageDistort<Planar<GrayF32>,Planar<GrayF32>> distortImage

fisheyeDistort

@Nullable LensDistortionWideFOV fisheyeDistort

imageFisheye

Planar<GrayF32> imageFisheye

imageRendered

Planar<GrayF32> imageRendered

pinholeModel

CameraPinhole pinholeModel

pixelX

double pixelX

pixelY

double pixelY

renderTran

AffineTransform renderTran

Class boofcv.gui.calibration.DisplayPinholeCalibrationPanel

class DisplayPinholeCalibrationPanel extends DisplayCalibrationPanel implements Serializable

Serialized Fields

correctedMS

Planar<GrayF32> correctedMS

distorted

@Nullable BufferedImage distorted

doNothing

Point2Transform2_F32 doNothing

lineY

int lineY

origMS

Planar<GrayF32> origMS

remove_p_to_p

Point2Transform2_F32 remove_p_to_p

selectedImage

int selectedImage

undistorted

BufferedImage undistorted

undoRadial

@Nullable ImageDistort<GrayF32,GrayF32> undoRadial

Package boofcv.gui.controls

Class boofcv.gui.controls.BaseImageControlPanel

class BaseImageControlPanel extends StandardAlgConfigPanel implements Serializable

Serialized Fields

imageSizeLabel

JLabel imageSizeLabel

processingTimeLabel

JLabel processingTimeLabel

selectedView

int selectedView

selectZoom

JSpinner selectZoom

zoom

double zoom

Class boofcv.gui.controls.CalibrationModelPanel

class CalibrationModelPanel extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboType

JComboBox<CameraModelType> comboType

kannalaBrandt

CalibrationModelPanel.KannalaBrandtPanel kannalaBrandt

listener

CalibrationModelPanel.Listener listener

panelTarget

JPanel panelTarget

pinhole

ControlPanelPinhole pinhole

selected

CameraModelType selected

universal

boofcv.gui.controls.CalibrationModelPanel.UniversalPanel universal

Class boofcv.gui.controls.CalibrationModelPanel.KannalaBrandtPanel

class KannalaBrandtPanel extends StandardAlgConfigPanel implements Serializable

Serialized Fields

numAsymmetric

JSpinnerNumber numAsymmetric

numSymmetric

JSpinnerNumber numSymmetric

skew

JCheckBoxValue skew

Class boofcv.gui.controls.CalibrationTargetPanel

class CalibrationTargetPanel extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboType

JComboBox<CalibrationPatterns> comboType

configChessboard

ConfigGridDimen configChessboard

configCircle

ConfigGridDimen configCircle

configCircleHex

ConfigGridDimen configCircleHex

configECoCheck

ConfigECoCheckMarkers configECoCheck

configHammingChess

ConfigHammingChessboard configHammingChess

configHammingGrid

ConfigHammingGrid configHammingGrid

configSquare

ConfigGridDimen configSquare

listener

CalibrationTargetPanel.Listener listener

panelTarget

JPanel panelTarget

selected

CalibrationPatterns selected

Class boofcv.gui.controls.ControlPanelDdaComboTabs

class ControlPanelDdaComboTabs extends ControlPanelDetDescAssocBase implements Serializable

Serialized Fields

listener

ControlPanelDdaComboTabs.Listener listener

panelAssociate

JPanel panelAssociate

panelDescriptor

JPanel panelDescriptor

panelDetector

JPanel panelDetector

Class boofcv.gui.controls.ControlPanelDdaTracker

class ControlPanelDdaTracker extends ControlPanelDetDescAssocBase implements Serializable

Serialized Fields

configDDA

ConfigTrackerDda configDDA

controlPanel

JPanel controlPanel

controlTrackerDDA

ControlPanelDdaTracker.ControlTracker controlTrackerDDA

listener

ControlPanelDdaTracker.Listener listener

Class boofcv.gui.controls.ControlPanelDdaTracker.ControlTracker

class ControlTracker extends StandardAlgConfigPanel implements Serializable

Serialized Fields

checkUpdate

JCheckBox checkUpdate

spinnerMaxUnused

JSpinner spinnerMaxUnused

Class boofcv.gui.controls.ControlPanelDetDescAssocBase

class ControlPanelDetDescAssocBase extends StandardAlgConfigPanel implements Serializable

Serialized Fields

associateWithPixels

boolean associateWithPixels

comboAssociate

JComboBox<String> comboAssociate

comboDescribe

JComboBox<String> comboDescribe

comboDetect

JComboBox<String> comboDetect

configAssociate

ConfigAssociate configAssociate

configDetDesc

ConfigDetectDescribe configDetDesc

controlAssocGreedy

ControlPanelAssociateGreedy controlAssocGreedy

controlAssocMaxDistance

JConfigLength controlAssocMaxDistance

controlAssocNN

ControlPanelAssociateNearestNeighbor controlAssocNN

controlDescBrief

ControlPanelDescribeBrief controlDescBrief

controlDescSift

ControlPanelDescribeSift controlDescSift

controlDescSurfFast

ControlPanelSurfDescribe.Speed controlDescSurfFast

controlDescSurfStable

ControlPanelSurfDescribe.Stability controlDescSurfStable

controlDescTemplate

ControlPanelDescribeTemplate controlDescTemplate

controlDetectFastHessian

ControlPanelFastHessian controlDetectFastHessian

controlDetectPoint

ControlPanelPointDetector controlDetectPoint

controlDetectSift

ControlPanelSiftDetector controlDetectSift

panelAssociate2D

StandardAlgConfigPanel panelAssociate2D

Class boofcv.gui.controls.ControlPanelDisparityDense

class ControlPanelDisparityDense extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboError

JComboBox<String> comboError

comboMethod

JComboBox<String> comboMethod

configDisparity

ConfigDisparity configDisparity

configSpeckle

ConfigSpeckleFilter configSpeckle

controlBM

ControlPanelDisparityDense.ControlsBlockMatching controlBM

controlCensus

boofcv.gui.controls.ControlPanelDisparityDense.ControlsCensus controlCensus

controlHMI

boofcv.gui.controls.ControlPanelDisparityDense.ControlsMutualInfo controlHMI

controlNCC

boofcv.gui.controls.ControlPanelDisparityDense.ControlsNCC controlNCC

controlSad

boofcv.gui.controls.ControlPanelDisparityDense.ControlsSAD controlSad

controlSGM

ControlPanelDisparityDense.ControlsSemiGlobal controlSGM

controlSpeckle

boofcv.gui.controls.ControlPanelDisparityDense.ControlsSpeckleConnComp controlSpeckle

ignoreChanges

boolean ignoreChanges

imageType

Class imageType

listener

ControlPanelDisparityDense.Listener listener

tabbedPane

JTabbedPane tabbedPane

Class boofcv.gui.controls.ControlPanelDisparityDense.ControlsBlockMatching

class ControlsBlockMatching extends StandardAlgConfigPanel implements Serializable

Serialized Fields

radiusXSpinner

JSpinner radiusXSpinner

radiusYSpinner

JSpinner radiusYSpinner

spinnerDisparityMin

JSpinner spinnerDisparityMin

spinnerDisparityRange

JSpinner spinnerDisparityRange

spinnerError

JSpinner spinnerError

spinnerReverse

JSpinner spinnerReverse

spinnerTexture

JSpinner spinnerTexture

subpixelToggle

JCheckBox subpixelToggle

Class boofcv.gui.controls.ControlPanelDisparityDense.ControlsSemiGlobal

class ControlsSemiGlobal extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboBlockApproach

JComboBox<String> comboBlockApproach

comboPaths

JComboBox<String> comboPaths

radiusXSpinner

JSpinner radiusXSpinner

radiusYSpinner

JSpinner radiusYSpinner

spinnerDisparityMin

JSpinner spinnerDisparityMin

spinnerDisparityRange

JSpinner spinnerDisparityRange

spinnerError

JSpinner spinnerError

spinnerPenaltyLarge

JSpinner spinnerPenaltyLarge

spinnerPenaltySmall

JSpinner spinnerPenaltySmall

spinnerReverse

JSpinner spinnerReverse

spinnerTexture

JSpinner spinnerTexture

subpixelToggle

JCheckBox subpixelToggle

useBlocks

JCheckBox useBlocks

Class boofcv.gui.controls.ControlPanelDisparityDisplay

class ControlPanelDisparityDisplay extends StandardAlgConfigPanel implements Serializable

Serialized Fields

backgroundColorDisparity

int backgroundColorDisparity

checkConcurrent

JCheckBox checkConcurrent

checkRecompute

JCheckBox checkRecompute

concurrent

boolean concurrent

controlCloud

ControlPanelDisparityDisplay.ControlCustomCloud controlCloud

controlDisparity

ControlPanelDisparityDense controlDisparity

imageSizeLabel

JLabel imageSizeLabel

inputScale

int inputScale

inputScaleSpinner

JSpinner inputScaleSpinner

listener

ControlPanelDisparityDisplay.Listener listener

processingTimeLabel

JLabel processingTimeLabel

recompute

boolean recompute

selectedView

ControlPanelDisparityDisplay.View selectedView

selectZoom

JSpinner selectZoom

viewSelector

JComboBox viewSelector

zoom

double zoom

Class boofcv.gui.controls.ControlPanelDisparityDisplay.ControlCustomCloud

class ControlCustomCloud extends ControlPanelPointCloud implements Serializable

Class boofcv.gui.controls.ControlPanelDisparitySparse

class ControlPanelDisparitySparse extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboError

JComboBox<String> comboError

config

ConfigDisparityBM config

controlBM

ControlPanelDisparitySparse.ControlsBlockMatching controlBM

controlCensus

boofcv.gui.controls.ControlPanelDisparitySparse.ControlsCensus controlCensus

controlNCC

boofcv.gui.controls.ControlPanelDisparitySparse.ControlsNCC controlNCC

controlSad

boofcv.gui.controls.ControlPanelDisparitySparse.ControlsSAD controlSad

ignoreChanges

boolean ignoreChanges

listener

ControlPanelDisparitySparse.Listener listener

tabbedPane

JTabbedPane tabbedPane

Class boofcv.gui.controls.ControlPanelDisparitySparse.ControlsBlockMatching

class ControlsBlockMatching extends StandardAlgConfigPanel implements Serializable

Serialized Fields

radiusXSpinner

JSpinner radiusXSpinner

radiusYSpinner

JSpinner radiusYSpinner

spinnerDisparityMin

JSpinner spinnerDisparityMin

spinnerDisparityRange

JSpinner spinnerDisparityRange

spinnerError

JSpinner spinnerError

spinnerReverse

JSpinner spinnerReverse

spinnerTexture

JSpinner spinnerTexture

subpixelToggle

JCheckBox subpixelToggle

Class boofcv.gui.controls.ControlPanelHybridTracker

class ControlPanelHybridTracker extends ControlPanelDetDescAssocBase implements Serializable

Serialized Fields

configHybrid

ConfigTrackerHybrid configHybrid

configKlt

ConfigPKlt configKlt

controlKlt

ControlPanelPointTrackerKlt controlKlt

controlPanel

JPanel controlPanel

ddaPanel

JPanel ddaPanel

listener

ControlPanelHybridTracker.Listener listener

selectedSelection

int selectedSelection

spinnerSelection

JComboBox<String> spinnerSelection

Class boofcv.gui.controls.ControlPanelHybridTracker.ControlTracker

class ControlTracker extends StandardAlgConfigPanel implements Serializable

Serialized Fields

checkPruneClose

JCheckBox checkPruneClose

jRespawn

JConfigLength jRespawn

spinnerMaxInactive

JSpinner spinnerMaxInactive

Class boofcv.gui.controls.ControlPanelPinhole

class ControlPanelPinhole extends StandardAlgConfigPanel implements Serializable

Serialized Fields

numRadial

JSpinnerNumber numRadial

parametersUpdated

Runnable parametersUpdated

skew

JCheckBoxValue skew

tangential

JCheckBoxValue tangential

Class boofcv.gui.controls.ControlPanelPointCloud

class ControlPanelPointCloud extends StandardAlgConfigPanel implements Serializable

Serialized Fields

backgroundColor3D

int backgroundColor3D

bColorBackGround

JButton bColorBackGround

callbackBackground

BoofLambdas.ProcessCall callbackBackground

callbackModified

BoofLambdas.ProcessCall callbackModified

checkColorFrame

JCheckBoxValue checkColorFrame

checkFog

JCheckBox checkFog

clipDistance

double clipDistance

colorScheme

int colorScheme

comboColorizer

JComboBox comboColorizer

fieldClip

JFormattedTextField fieldClip

fog

boolean fog

offsetAdjust

int offsetAdjust

periodAdjust

int periodAdjust

sliderOffsetColor

JSlider sliderOffsetColor

sliderPeriodColor

JSlider sliderPeriodColor

sliderSpeed3D

JSlider sliderSpeed3D

speedAdjust

int speedAdjust

Class boofcv.gui.controls.ControlPanelPointTrackerKlt

class ControlPanelPointTrackerKlt extends StandardAlgConfigPanel implements Serializable

Serialized Fields

checkPruneClose

JCheckBox checkPruneClose

configDetect

@Nullable ConfigPointDetector configDetect

configKlt

ConfigPKlt configKlt

controlDetector

@Nullable ControlPanelPointDetector controlDetector

controlLevels

JPyramidLevels controlLevels

listener

ControlPanelPointTrackerKlt.Listener listener

spinnerDescRadius

JSpinner spinnerDescRadius

spinnerForwardsBackwards

JSpinner spinnerForwardsBackwards

spinnerIterations

JSpinner spinnerIterations

spinnerMaxError

JSpinner spinnerMaxError

spinnerMaxTracks

JConfigLength spinnerMaxTracks

Class boofcv.gui.controls.ControlPanelPointTrackers

class ControlPanelPointTrackers extends StandardAlgConfigPanel implements Serializable

Serialized Fields

cFamily

JComboBox<String> cFamily

controlDda

ControlPanelDdaTracker controlDda

controlHybrid

ControlPanelHybridTracker controlHybrid

controlKlt

ControlPanelPointTrackerKlt controlKlt

listener

ControlPanelPointTrackers.Listener listener

mainPanel

JPanel mainPanel

previous

@Nullable JComponent previous

selectedFamily

ConfigPointTracker.TrackerType selectedFamily

Class boofcv.gui.controls.ControlPanelStereoDualTrackPnP

class ControlPanelStereoDualTrackPnP extends JTabbedPane implements Serializable

Serialized Fields

config

ConfigStereoDualTrackPnP config

controlPnpDepth

ControlPanelVisOdomTrackPnP controlPnpDepth

controlStereo

ControlPanelStereoDualTrackPnP.StereoControls controlStereo

controlTrackers

ControlPanelPointTrackers controlTrackers

listener

ControlPanelStereoDualTrackPnP.Listener listener

Class boofcv.gui.controls.ControlPanelStereoDualTrackPnP.DescribeControl

class DescribeControl extends ControlPanelDetDescAssocBase implements Serializable

Serialized Fields

panelDescriptor

JPanel panelDescriptor

Class boofcv.gui.controls.ControlPanelStereoDualTrackPnP.StereoControls

class StereoControls extends StandardAlgConfigPanel implements Serializable

Serialized Fields

panelDescribe

ControlPanelStereoDualTrackPnP.DescribeControl panelDescribe

spinnerEpipolarTol

JSpinner spinnerEpipolarTol

spinnerScaleRadius

JSpinner spinnerScaleRadius

Class boofcv.gui.controls.ControlPanelStereoMonoTrackPnP

class ControlPanelStereoMonoTrackPnP extends JPanel implements Serializable

Serialized Fields

controlDisparity

ControlPanelDisparitySparse controlDisparity

controlPnpDepth

ControlPanelVisOdomTrackPnP controlPnpDepth

controlTrackers

ControlPanelPointTrackers controlTrackers

Class boofcv.gui.controls.ControlPanelStereoQuadPnP

class ControlPanelStereoQuadPnP extends JTabbedPane implements Serializable

Serialized Fields

config

ConfigStereoQuadPnP config

listener

ControlPanelStereoQuadPnP.Listener listener

panelAssociate

ControlPanelStereoQuadPnP.ControlPanelAssociate panelAssociate

panelFeatures

ControlPanelDetDescAssocBase panelFeatures

panelMotion

ControlPanelStereoQuadPnP.ControlPanelMotion panelMotion

Class boofcv.gui.controls.ControlPanelStereoQuadPnP.ControlPanelAssociate

class ControlPanelAssociate extends StandardAlgConfigPanel implements Serializable

Serialized Fields

controlAssociateF2F

ControlPanelAssociateGreedy controlAssociateF2F

controlAssociateL2R

ControlPanelAssociateGreedy controlAssociateL2R

controlMaxDistance

JConfigLength controlMaxDistance

spinnerEpipolarTol

JSpinner spinnerEpipolarTol

Class boofcv.gui.controls.ControlPanelStereoQuadPnP.ControlPanelFeatures

class ControlPanelFeatures extends ControlPanelDetDescAssocBase implements Serializable

Serialized Fields

controlPanel

JPanel controlPanel

Class boofcv.gui.controls.ControlPanelStereoQuadPnP.ControlPanelMotion

class ControlPanelMotion extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboPnpType

JComboBox<String> comboPnpType

spinBundleMaxIter

JSpinner spinBundleMaxIter

spinRansacIter

JSpinner spinRansacIter

spinRansacTol

JSpinner spinRansacTol

spinRefinePnP

JSpinner spinRefinePnP

VALUES_PNP

EnumPNP[] VALUES_PNP

Class boofcv.gui.controls.ControlPanelVisOdomTrackPnP

class ControlPanelVisOdomTrackPnP extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboPnpType

JComboBox<String> comboPnpType

config

ConfigVisOdomTrackPnP config

listener

ControlPanelVisOdomTrackPnP.Listener listener

spinBundleFeatFrame

JSpinner spinBundleFeatFrame

spinBundleMaxIter

JSpinner spinBundleMaxIter

spinBundleMinObs

JSpinner spinBundleMinObs

spinDropOutliers

JSpinner spinDropOutliers

spinKeyCoverage

JSpinner spinKeyCoverage

spinMaxKeyFrames

JSpinner spinMaxKeyFrames

spinRansacIter

JSpinner spinRansacIter

spinRansacTol

JSpinner spinRansacTol

spinRefinePnP

JSpinner spinRefinePnP

VALUES_PNP

EnumPNP[] VALUES_PNP

Class boofcv.gui.controls.JConfigLength

class JConfigLength extends JPanel implements Serializable

Serialized Fields

integerMode

boolean integerMode

listener

JConfigLength.Listener listener

maximumLength

double maximumLength

minimumLength

double minimumLength

modeRelative

boolean modeRelative

spinnerFraction

JSpinner spinnerFraction

textLength

JFormattedTextField textLength

toggleFixed

JCheckBox toggleFixed

valueFixed

ConfigLength valueFixed

valueFraction

ConfigLength valueFraction

Class boofcv.gui.controls.JPyramidLevels

class JPyramidLevels extends JPanel implements Serializable

Serialized Fields

bType

JButton bType

config

ConfigDiscreteLevels config

fieldLevels

JFormattedTextField fieldLevels

fieldPixels

JFormattedTextField fieldPixels

isFixedLevels

boolean isFixedLevels

listener

JPyramidLevels.Listener listener

minPixels

int minPixels

numberOfLevels

int numberOfLevels

Package boofcv.gui.d2

Class boofcv.gui.d2.PlaneView2D

class PlaneView2D extends JPanel implements Serializable

Serialized Fields

a

Point2D_F64 a

pixelToUnit

double pixelToUnit

points

DogArray<Point2D_F64> points

prevX

int prevX

prevY

int prevY

scale

double scale

transform

Se2_F64 transform

Package boofcv.gui.d3

Class boofcv.gui.d3.ColorPoint3D

class ColorPoint3D extends Point3D_F64 implements Serializable

Serialized Fields

rgb

int rgb

Class boofcv.gui.d3.Orientation3D

class Orientation3D extends JPanel implements Serializable

Serialized Fields

a

int a

b

int b

line

Line2D.Double line

tilt

double tilt

yaw

double yaw

Class boofcv.gui.d3.PointCloudViewerPanelSwing

class PointCloudViewerPanelSwing extends JPanel implements Serializable

Serialized Fields

backgroundColor

int backgroundColor

cloudColor

BigDogArray_I32 cloudColor

cloudXyz

PackedBigArrayPoint3D_F32 cloudXyz

colorizer

PointCloudViewer.Colorizer colorizer

colorizeUsingWorldFrame

boolean colorizeUsingWorldFrame

controlPressed

boolean controlPressed

dotRadius

int dotRadius

fog

boolean fog

hfov

float hfov

keyboard

boofcv.gui.d3.PointCloudViewerPanelSwing.Keyboard keyboard

lockPressed

ReentrantLock lockPressed

lockWireFrame

ReentrantLock lockWireFrame

maxRenderDistance

float maxRenderDistance

pressed

Set<Integer> pressed

pressedTask

@Nullable ScheduledExecutorService pressedTask

prevX

int prevX

prevY

int prevY

rendering

boofcv.gui.d3.PointCloudViewerPanelSwing.RenderingWork rendering

shiftPressed

boolean shiftPressed

stepSize

float stepSize

wireframes

DogArray<boofcv.gui.d3.PointCloudViewerPanelSwing.Wireframe> wireframes

Class boofcv.gui.d3.Polygon3DSequenceViewer

class Polygon3DSequenceViewer extends JPanel implements Serializable

Serialized Fields

camera

CameraPinhole camera

K

DMatrixRMaj K

line

Line2D.Double line

p1

Point3D_F64 p1

p2

Point3D_F64 p2

polygons

List<boofcv.gui.d3.Polygon3DSequenceViewer.Poly> polygons

prevX

int prevX

prevY

int prevY

stepSize

double stepSize

worldToCamera

Se3_F64 worldToCamera

x1

Point2D_F64 x1

x2

Point2D_F64 x2

Package boofcv.gui.dialogs

Class boofcv.gui.dialogs.FileBrowser

class FileBrowser extends JSpringPanel implements Serializable

Serialized Fields

comboPath

JComboBox<String> comboPath

directories

List<File> directories

directoryListener

ActionListener directoryListener

fileList

JList<File> fileList

filters

List<FileFilter> filters

listener

FileBrowser.Listener listener

listModel

DefaultListModel<File> listModel

sorter

boofcv.gui.dialogs.FileBrowser.SortDirectoryFirst sorter

textFileName

JTextArea textFileName

Class boofcv.gui.dialogs.FilePreviewChooser

class FilePreviewChooser extends JPanel implements Serializable

Serialized Fields

browser

FileBrowser browser

bSelect

JButton bSelect

listener

FilePreviewChooser.Listener listener

lockPreview

Object lockPreview

metadataText

JTextArea metadataText

openFile

boolean openFile

pendingPreview

@Nullable String pendingPreview

preview

ImagePanel preview

previewThread

@Nullable boofcv.gui.dialogs.FilePreviewChooser.PreviewThread previewThread

selected

@Nullable File selected

Class boofcv.gui.dialogs.JSpringPanel

class JSpringPanel extends JPanel implements Serializable

Serialized Fields

layout

SpringLayout layout

Class boofcv.gui.dialogs.OpenImageSetDialog

class OpenImageSetDialog extends JPanel implements Serializable

Serialized Fields

bOK

JButton bOK

browser

FileBrowser browser

defaultDirectory

File defaultDirectory

dialog

JDialog dialog

listener

OpenImageSetDialog.Listener listener

lockPreview

Object lockPreview

modeSelect

OpenImageSetDialog.Mode modeSelect

pendingPreview

@Nullable String pendingPreview

preview

ImagePanel preview

previewThread

@Nullable boofcv.gui.dialogs.OpenImageSetDialog.PreviewThread previewThread

requiredSelect

int requiredSelect

selected

boofcv.gui.dialogs.OpenImageSetDialog.SelectedList selected

Class boofcv.gui.dialogs.OpenStereoSequencesChooser

class OpenStereoSequencesChooser extends JSpringPanel implements Serializable

Serialized Fields

bCancel

JButton bCancel

bOK

JButton bOK

cSplit

JCheckBox cSplit

directory

File directory

justImages

boolean justImages

leftPathPanel

JPanel leftPathPanel

listener

OpenStereoSequencesChooser.Listener listener

previewLeft

ImagePanel previewLeft

previewRight

ImagePanel previewRight

rightPathPanel

JPanel rightPathPanel

stereoParameters

StereoParameters stereoParameters

textCalibrationPath

JTextField textCalibrationPath

textLeftPath

JTextField textLeftPath

textRightPath

JTextField textRightPath

Package boofcv.gui.feature

Class boofcv.gui.feature.AssociatedTriplePanel

class AssociatedTriplePanel extends JPanel implements Serializable

Serialized Fields

affine1

Affine2D_F64 affine1

affine2

Affine2D_F64 affine2

affine3

Affine2D_F64 affine3

colors

Color[] colors

image1

BufferedImage image1

image2

BufferedImage image2

image3

BufferedImage image3

lock

Object lock

mode

boofcv.gui.feature.AssociatedTriplePanel.Mode mode

offX

double offX

offY

double offY

p1

Point2D_F64 p1

p2

Point2D_F64 p2

p3

Point2D_F64 p3

points

DGrowArray points

sep

int sep

singlePoint

int singlePoint

Class boofcv.gui.feature.AssociationPanel

class AssociationPanel extends CompareTwoImagePanel implements Serializable

Serialized Fields

assocLeft

int[] assocLeft

assocRight

int[] assocRight

colors

Color[] colors

lock

Object lock

Class boofcv.gui.feature.AssociationScorePanel

class AssociationScorePanel extends CompareTwoImagePanel implements Serializable

Serialized Fields

associationScore

double[] associationScore

best

double best

containmentFraction

double containmentFraction

indexBest

int indexBest

leftDesc

List<D> leftDesc

maxCircleRadius

int maxCircleRadius

rightDesc

List<D> rightDesc

scorer

ScoreAssociation<D> scorer

worst

double worst

Class boofcv.gui.feature.CompareTwoImagePanel

class CompareTwoImagePanel extends JPanel implements Serializable

Serialized Fields

borderSize

int borderSize

clickDistance

double clickDistance

firstClick

@Nullable Point2D_I32 firstClick

leftImage

BufferedImage leftImage

leftPts

List<Point2D_F64> leftPts

mousePosition

Point2D_I32 mousePosition

rightImage

BufferedImage rightImage

rightPts

List<Point2D_F64> rightPts

scaleLeft

double scaleLeft

scaleRight

double scaleRight

selected

List<Integer> selected

selectedIsLeft

boolean selectedIsLeft

selectRegion

boolean selectRegion

Class boofcv.gui.feature.ControlPanelAssociateGreedy

class ControlPanelAssociateGreedy extends StandardAlgConfigPanel implements Serializable

Serialized Fields

checkForwardsBackwards

JCheckBox checkForwardsBackwards

config

ConfigAssociateGreedy config

listener

ControlPanelAssociateGreedy.Listener listener

spinnerMaxError

JSpinner spinnerMaxError

spinnerRatio

JSpinner spinnerRatio

Class boofcv.gui.feature.ControlPanelAssociateNearestNeighbor

class ControlPanelAssociateNearestNeighbor extends StandardAlgConfigPanel implements Serializable

Serialized Fields

config

ConfigAssociateNearestNeighbor config

listener

ControlPanelAssociateNearestNeighbor.Listener listener

spinnerMaxError

JSpinner spinnerMaxError

spinnerRatio

JSpinner spinnerRatio

Class boofcv.gui.feature.ControlPanelDescribeBrief

class ControlPanelDescribeBrief extends StandardAlgConfigPanel implements Serializable

Serialized Fields

checkFixed

JCheckBox checkFixed

config

ConfigBrief config

listener

ControlPanelDescribeBrief.Listener listener

spinnerBlurRadius

JSpinner spinnerBlurRadius

spinnerBlurSigma

JSpinner spinnerBlurSigma

spinnerNumPoints

JSpinner spinnerNumPoints

spinnerRadius

JSpinner spinnerRadius

Class boofcv.gui.feature.ControlPanelDescribeSift

class ControlPanelDescribeSift extends StandardAlgConfigPanel implements Serializable

Serialized Fields

config

ConfigSiftDescribe config

listener

ControlPanelDescribeSift.Listener listener

spinnerHistogram

JSpinner spinnerHistogram

spinnerMaxElementFraction

JSpinner spinnerMaxElementFraction

spinnerSigmaToPixels

JSpinner spinnerSigmaToPixels

spinnerWeightFraction

JSpinner spinnerWeightFraction

spinnerWidthGrid

JSpinner spinnerWidthGrid

spinnerWidthSubregion

JSpinner spinnerWidthSubregion

Class boofcv.gui.feature.ControlPanelDescribeTemplate

class ControlPanelDescribeTemplate extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboType

JComboBox<String> comboType

config

ConfigTemplateDescribe config

listener

ControlPanelDescribeTemplate.Listener listener

spinnerHeight

JSpinner spinnerHeight

spinnerWidth

JSpinner spinnerWidth

Class boofcv.gui.feature.ControlPanelExtractor

class ControlPanelExtractor extends StandardAlgConfigPanel implements Serializable

Serialized Fields

config

ConfigExtract config

listener

ControlPanelExtractor.Listener listener

spinnerRadius

JSpinner spinnerRadius

spinnerThreshold

JSpinner spinnerThreshold

Class boofcv.gui.feature.ControlPanelFastCorner

class ControlPanelFastCorner extends StandardAlgConfigPanel implements Serializable

Serialized Fields

config

ConfigFastCorner config

listener

ControlPanelFastCorner.Listener listener

sContinuous

JSpinner sContinuous

sPixelTol

JSpinner sPixelTol

Class boofcv.gui.feature.ControlPanelFastHessian

class ControlPanelFastHessian extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboSelector

JComboBox<String> comboSelector

config

ConfigFastHessian config

controlExtractor

ControlPanelExtractor controlExtractor

listener

ControlPanelFastHessian.Listener listener

spinnerInitialSample

JSpinner spinnerInitialSample

spinnerInitialSize

JSpinner spinnerInitialSize

spinnerMaxAll

JSpinner spinnerMaxAll

spinnerMaxPerScale

JSpinner spinnerMaxPerScale

spinnerOctaves

JSpinner spinnerOctaves

spinnerScalesPerOctave

JSpinner spinnerScalesPerOctave

spinnerScaleStep

JSpinner spinnerScaleStep

Class boofcv.gui.feature.ControlPanelGeneralCorner

class ControlPanelGeneralCorner extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboSelector

JComboBox<String> comboSelector

config

ConfigGeneralDetector config

controlExtract

ControlPanelExtractor controlExtract

listener

ControlPanelGeneralCorner.Listener listener

spinnerMaxFeatures

JSpinner spinnerMaxFeatures

Class boofcv.gui.feature.ControlPanelPointDetector

class ControlPanelPointDetector extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboType

JComboBox<String> comboType

config

ConfigPointDetector config

controlGeneralCorner

ControlPanelGeneralCorner controlGeneralCorner

controlsDefault

boofcv.gui.feature.ControlPanelPointDetector.DefaultControls controlsDefault

controlsFastCorner

ControlPanelFastCorner controlsFastCorner

listener

ControlPanelPointDetector.Listener listener

panelSpecific

JPanel panelSpecific

spinnerScaleRadius

JSpinner spinnerScaleRadius

Class boofcv.gui.feature.ControlPanelSiftDetector

class ControlPanelSiftDetector extends StandardAlgConfigPanel implements Serializable

Serialized Fields

comboSelector

JComboBox<String> comboSelector

configDetector

ConfigSiftDetector configDetector

configSS

ConfigSiftScaleSpace configSS

controlExtractor

ControlPanelExtractor controlExtractor

controlSS

ControlPanelSiftScaleSpace controlSS

listener

ControlPanelSiftDetector.Listener listener

spinnerEdgeResponse

JSpinner spinnerEdgeResponse

spinnerMaxAll

JSpinner spinnerMaxAll

spinnerMaxPerScale

JSpinner spinnerMaxPerScale

Class boofcv.gui.feature.ControlPanelSiftScaleSpace

class ControlPanelSiftScaleSpace extends StandardAlgConfigPanel implements Serializable

Serialized Fields

config

ConfigSiftScaleSpace config

listener

ControlPanelSiftScaleSpace.Listener listener

spinnerNumOctaves

JSpinner spinnerNumOctaves

spinnerNumScales

JSpinner spinnerNumScales

spinnerSigma0

JSpinner spinnerSigma0

Class boofcv.gui.feature.ControlPanelSurfDescribe

class ControlPanelSurfDescribe extends StandardAlgConfigPanel implements Serializable

Serialized Fields

checkColor

JCheckBox checkColor

checkHaar

JCheckBox checkHaar

color

boolean color

config

ConfigSurfDescribe config

listener

ControlPanelSurfDescribe.Listener listener

spinnerLargeGrid

JSpinner spinnerLargeGrid

spinnerSubRegion

JSpinner spinnerSubRegion

spinnerWidthKernel

JSpinner spinnerWidthKernel

Class boofcv.gui.feature.ControlPanelSurfDescribe.Speed

class Speed extends ControlPanelSurfDescribe implements Serializable

Serialized Fields

config

ConfigSurfDescribe.Fast config

spinnerWeightSigma

JSpinner spinnerWeightSigma

Class boofcv.gui.feature.ControlPanelSurfDescribe.Stability

class Stability extends ControlPanelSurfDescribe implements Serializable

Serialized Fields

config

ConfigSurfDescribe.Stability config

spinnerLargeGrid

JSpinner spinnerLargeGrid

spinnerOverlap

JSpinner spinnerOverlap

spinnerSubRegion

JSpinner spinnerSubRegion

Class boofcv.gui.feature.ImageLinePanel

class ImageLinePanel extends ImagePanel implements Serializable

Serialized Fields

line

Line2D.Double line

lines

List<LineSegment2D_F32> lines

Class boofcv.gui.feature.ImageLinePanelZoom

class ImageLinePanelZoom extends ImageZoomPanel implements Serializable

Serialized Fields

line

Line2D.Double line

lines

List<LineSegment2D_F32> lines

selectedLine

int selectedLine

Class boofcv.gui.feature.ScaleSpacePyramidPointPanel

class ScaleSpacePyramidPointPanel extends JPanel implements Serializable

Serialized Fields

activeLevel

int activeLevel

background

BufferedImage background

levelImage

@Nullable BufferedImage levelImage

levelPoints

List<ScalePoint> levelPoints

points

List<ScalePoint> points

scaleToRadius

double scaleToRadius

ss

PyramidFloat ss

unused

List<ScalePoint> unused

Class boofcv.gui.feature.SelectRegionDescriptionPanel

class SelectRegionDescriptionPanel extends JPanel implements Serializable

Serialized Fields

background

BufferedImage background

clickTolerance

double clickTolerance

current

@Nullable Point2D_I32 current

dragMode

boolean dragMode

imageScale

double imageScale

listener

SelectRegionDescriptionPanel.Listener listener

target

@Nullable Point2D_I32 target

Class boofcv.gui.feature.TupleDescPanel

class TupleDescPanel extends JPanel implements Serializable

Serialized Fields

desc

@Nullable TupleDesc desc

Package boofcv.gui.image

Class boofcv.gui.image.AnimatePanel

class AnimatePanel extends JPanel implements Serializable

Serialized Fields

frame

int frame

images

BufferedImage[] images

period

int period

previousTime

long previousTime

timer

@Nullable boofcv.gui.image.AnimatePanel.Timer timer

Class boofcv.gui.image.DiscretePyramidPanel

class DiscretePyramidPanel extends JPanel implements Serializable

Serialized Fields

img

BufferedImage img

layers

BufferedImage[] layers

pyramid

ImagePyramid<T extends ImageGray<T>> pyramid

Class boofcv.gui.image.ImageBinaryLabeledPanel

class ImageBinaryLabeledPanel extends JPanel implements Serializable

Serialized Fields

colors

int[] colors

img

@Nullable BufferedImage img

labelImage

GrayS32 labelImage

Class boofcv.gui.image.ImageBinaryPanel

class ImageBinaryPanel extends JPanel implements Serializable

Serialized Fields

binaryImage

GrayU8 binaryImage

img

BufferedImage img

Class boofcv.gui.image.ImageGridPanel

class ImageGridPanel extends JPanel implements Serializable

Serialized Fields

affine

AffineTransform affine

images

BufferedImage[] images

numCols

int numCols

numRows

int numRows

scaleToFit

boolean scaleToFit

Class boofcv.gui.image.ImagePanel

class ImagePanel extends JPanel implements Serializable

Serialized Fields

adjustmentGUI

boofcv.gui.image.ImagePanel.ScaleOffset adjustmentGUI

center

boolean center

img

@Nullable BufferedImage img

mouseListener

SaveImageOnClick mouseListener

offsetX

double offsetX

offsetY

double offsetY

scale

double scale

scaling

ScaleOptions scaling

transform

AffineTransform transform

Class boofcv.gui.image.ImagePyramidPanel

class ImagePyramidPanel extends ListDisplayPanel implements Serializable

Serialized Fields

interp

InterpolatePixelS<T extends ImageGray<T>> interp

pyramid

ImagePyramid<T extends ImageGray<T>> pyramid

scaleUp

boolean scaleUp

showScales

boolean showScales

upscale

T extends ImageGray<T> upscale

Class boofcv.gui.image.ImageZoomPanel

class ImageZoomPanel extends JScrollPane implements Serializable

Serialized Fields

autoScaleCenterOnSetImage

boolean autoScaleCenterOnSetImage

checkEventDispatch

boolean checkEventDispatch

hasImageChanged

boolean hasImageChanged

img

@Nullable BufferedImage img

listener

ImageZoomPanel.ImageZoomListener listener

panel

ImageZoomPanel.ImagePanel panel

scale

double scale

transX

double transX

transY

double transY

Class boofcv.gui.image.ImageZoomPanel.ImagePanel

class ImagePanel extends JPanel implements Serializable

Serialized Fields

buffer

BufferedImage buffer

mouseListener

@Nullable SaveImageOnClick mouseListener

Class boofcv.gui.image.SelectInputImageToolBar

class SelectInputImageToolBar extends JPanel implements Serializable

Serialized Fields

cookies

List<Object> cookies

imageMenu

JComboBox<String> imageMenu

listener

@Nullable SelectInputImageToolBar.Listener listener

Package boofcv.gui.learning

Class boofcv.gui.learning.ConfusionMatrixPanel

class ConfusionMatrixPanel extends JPanel implements Serializable

Serialized Fields

confusion

DMatrixRMaj confusion

dirty

boolean dirty

gray

boolean gray

gridHeight

int gridHeight

gridWidth

int gridWidth

highlightCategory

int highlightCategory

labels

List<String> labels

labelViewFraction

double labelViewFraction

renderLabels

boolean renderLabels

showLabels

boolean showLabels

showNumbers

boolean showNumbers

showZeros

boolean showZeros

temp

DMatrixRMaj temp

viewHeight

int viewHeight

viewWidth

int viewWidth

Package boofcv.gui.mesh

Class boofcv.gui.mesh.MeshViewerPanel

class MeshViewerPanel extends JPanel implements Serializable

Serialized Fields

activeColorizer

int activeColorizer

activeControl

Swing3dCameraControl activeControl

buffered

BufferedImage buffered

buttonSize

int buttonSize

How big the help button appears to be

colorizers

Map<String,RenderMesh.SurfaceColor> colorizers

controls

Map<String,Swing3dCameraControl> controls

Map of all camera controls

coolDownTime

long coolDownTime

dimension

ImageDimension dimension

helpButtonActive

boolean helpButtonActive

If the help button exists

helpButtonFont

Font helpButtonFont

helpWindow

@Nullable JFrame helpWindow

hfov

double hfov

inverseDepth

GrayF32 inverseDepth

lockSwap

ReentrantLock lockSwap

mesh

VertexMesh mesh

renderer

RenderMesh renderer

Renders the mesh into a projected image

renderRequested

boolean renderRequested

renderThread

Thread renderThread

showDepth

boolean showDepth

shutdownRequested

boolean shutdownRequested

verbose

@Nullable PrintStream verbose

work

BufferedImage work

Class boofcv.gui.mesh.MeshViewerPreferencePanel

class MeshViewerPreferencePanel extends StandardAlgConfigPanel implements Serializable

Serialized Fields

bColorBackGround

JButton bColorBackGround

checkHide

JCheckBox checkHide

comboControls

JComboBox<String> comboControls

panel

MeshViewerPanel panel

textArea

JTextArea textArea

Package boofcv.gui.settings

Class boofcv.gui.settings.GlobalSettingsControls

class GlobalSettingsControls extends StandardAlgConfigPanel implements Serializable

Serialized Fields

bReset

JButton bReset

bSave

JButton bSave

canceled

boolean canceled

changedTheme

boolean changedTheme

checkVerboseRuntime

JCheckBox checkVerboseRuntime

checkVerboseTracking

JCheckBox checkVerboseTracking

comboControl3D

JComboBox<String> comboControl3D

comboThemes

JComboBox<String> comboThemes

dialog

@Nullable JDialog dialog

settings

GlobalDemoSettings settings

spinnerThreads

JSpinner spinnerThreads

threadCount

int threadCount

Package boofcv.gui.stereo

Class boofcv.gui.stereo.RectifiedPairPanel

class RectifiedPairPanel extends JPanel implements Serializable

Serialized Fields

image1

BufferedImage image1

image2

BufferedImage image2

mouseX

int mouseX

mouseY

int mouseY

scaleToWindow

boolean scaleToWindow

Package boofcv.gui.tracker

Class boofcv.gui.tracker.TldTemplatePanel

class TldTemplatePanel extends JPanel implements Serializable

Serialized Fields

featureWidth

int featureWidth

scale

int scale

templates

List<BufferedImage> templates

unused

ArrayDeque<BufferedImage> unused

Class boofcv.gui.tracker.TldVisualizationPanel

class TldVisualizationPanel extends JPanel implements Serializable

Serialized Fields

centerPanel

boofcv.gui.tracker.TldVisualizationPanel.CenterPanel centerPanel

detections

DogArray<TldRegion> detections

frame

BufferedImage frame

hasSelected

boolean hasSelected

listener

TldVisualizationPanel.Listener listener

negativePanel

TldTemplatePanel negativePanel

numClicks

int numClicks

positivePanel

TldTemplatePanel positivePanel

selected

ImageRectangle selected

Class boofcv.gui.tracker.TrackerObjectQuadPanel

class TrackerObjectQuadPanel extends ImagePanel implements Serializable

Serialized Fields

listener

TrackerObjectQuadPanel.Listener listener

mode

TrackerObjectQuadPanel.Mode mode

numSelected

int numSelected

quad

Quadrilateral_F64 quad

targetVisible

boolean targetVisible

Package boofcv.io.webcamcapture

Class boofcv.io.webcamcapture.OpenWebcamDialog

class OpenWebcamDialog extends StandardAlgConfigPanel implements Serializable

Serialized Fields

bCancel

JButton bCancel

bOK

JButton bOK

cameraListener

ActionListener cameraListener

comboCameras

JComboBox<String> comboCameras

comboSizes

JComboBox comboSizes

concluded

boolean concluded

cSave

JCheckBox cSave

dialog

JDialog dialog

fieldHeight

JFormattedTextField fieldHeight

fieldWidth

JFormattedTextField fieldWidth

height

int height

modelSizes

DefaultComboBoxModel modelSizes

selectedCamera

@Nullable com.github.sarxos.webcam.Webcam selectedCamera

sizeListener

ActionListener sizeListener

width

int width

Package boofcv.misc

Class boofcv.misc.ConfigConverge

class ConfigConverge extends Object implements Serializable

Serialized Fields

ftol

double ftol

Relative threshold for change in function value between iterations. 0 ≤ ftol ≤ 1.

gtol

double gtol

Absolute threshold for convergence based on the gradient's norm. 0 disables test. gtol ≥ 0.

maxIterations

int maxIterations

Maximum number of iterations. What is defined as an iteration is implementation specific.

Package boofcv.struct

Class boofcv.struct.ConfigGridUniform

class ConfigGridUniform extends Object implements Serializable

Serialized Fields

minCellLength

int minCellLength

The smallest allowed cell size in pixels

regionScaleFactor

double regionScaleFactor

Scales the size of a region up by this amount

Class boofcv.struct.ConfigLength

class ConfigLength extends Object implements Serializable

Serialized Fields

fraction

double fraction

If ≥ 0 the length is relative to the total size and the 'fixed' number is treated as a minimum size.

length

double length

If in fixed mode this is the length, or it's the minimum length of a relative length is being specified

Class boofcv.struct.GridShape

class GridShape extends Object implements Serializable

Serialized Fields

cols

int cols

Number of columns

rows

int rows

Number of rows

Class boofcv.struct.Point3dRgbI_F32

class Point3dRgbI_F32 extends Point3D_F32 implements Serializable

Serialized Fields

rgb

int rgb

Class boofcv.struct.Point3dRgbI_F64

class Point3dRgbI_F64 extends Point3D_F64 implements Serializable

Serialized Fields

rgb

int rgb

Class boofcv.struct.PointGradient_F64

class PointGradient_F64 extends Point2D_F64 implements Serializable

Serialized Fields

dx

double dx

Image gradient at this location

dy

double dy

Image gradient at this location

Class boofcv.struct.PointIndex_I32

class PointIndex_I32 extends Point2D_I32 implements Serializable

Serialized Fields

index

int index

Index of point in an array/list

Class boofcv.struct.QueueCorner

class QueueCorner extends DogArray<Point2D_I16> implements Serializable

Package boofcv.struct.calib

Class boofcv.struct.calib.CameraDivision

class CameraDivision extends CameraPinhole implements Serializable

Serialized Fields

radial

double radial

Single parameter radial distortion term

Class boofcv.struct.calib.CameraKannalaBrandt

class CameraKannalaBrandt extends CameraPinhole implements Serializable

Serialized Fields

radial

double[] radial

Coefficients for distortion terms in radial direction

radialTrig

double[] radialTrig

Coefficients for distortion terms in radial direction

symmetric

double[] symmetric

Coefficients for radially symmetric model

tangent

double[] tangent

Coefficients for distortion terms in tangential direction

tangentTrig

double[] tangentTrig

Coefficients for distortion terms in tangential direction

Class boofcv.struct.calib.CameraModel

class CameraModel extends Object implements Serializable

Serialized Fields

height

int height

image shape (units: pixels)

width

int width

image shape (units: pixels)

Class boofcv.struct.calib.CameraPinhole

class CameraPinhole extends CameraModel implements Serializable

Serialized Fields

cx

double cx

image center (units: pixels)

cy

double cy

image center (units: pixels)

fx

double fx

focal length along x and y axis (units: pixels)

fy

double fy

focal length along x and y axis (units: pixels)

skew

double skew

skew parameter, typically 0 (units: pixels)

Class boofcv.struct.calib.CameraPinholeBrown

class CameraPinholeBrown extends CameraPinhole implements Serializable

Serialized Fields

radial

@org.jetbrains.annotations.Nullable double[] radial

radial distortion parameters

t1

double t1

tangential distortion parameters

t2

double t2

tangential distortion parameters

Class boofcv.struct.calib.CameraUniversalOmni

class CameraUniversalOmni extends CameraPinhole implements Serializable

Serialized Fields

mirrorOffset

double mirrorOffset

Mirror offset distance. ξ

radial

double[] radial

radial distortion parameters: k₁,...,k_n

t1

double t1

tangential distortion parameters

t2

double t2

tangential distortion parameters

Class boofcv.struct.calib.MultiCameraCalibParams

class MultiCameraCalibParams extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

camerasToSensor

List<Se3_F64> camerasToSensor

Extrinsics for each camera. Camera to the common sensor frame. Typically the common sensor frame is defined as camera[0], but not always.

intrinsics

List<CameraModel> intrinsics

Intrinsic camera parameters and model for each camera.

Class boofcv.struct.calib.StereoParameters

class StereoParameters extends Object implements Serializable

serialVersionUID:

1L

Serialized Fields

left

CameraPinholeBrown left

intrinsic camera parameters of left camera

right

CameraPinholeBrown right

intrinsic camera parameters of right camera

right_to_left

Se3_F64 right_to_left

transform from left camera to right camera

Package boofcv.struct.feature

Class boofcv.struct.feature.BriefFeatureQueue

class BriefFeatureQueue extends DogArray<TupleDesc_B> implements Serializable

Serialized Fields

numBits

int numBits

Class boofcv.struct.feature.ColorQueue_F32

class ColorQueue_F32 extends DogArray<float[]> implements Serializable

Class boofcv.struct.feature.Match

class Match extends Point2D_I32 implements Serializable

Serialized Fields

score

double score

Score indicating the match quality. Higher the score the better. The range will depending on the algorithm used. For some algorithms the score will even be negative.

Class boofcv.struct.feature.NccFeature

class NccFeature extends Object implements Serializable

Serialized Fields

data

double[] data

Storage for each element in the feature

mean

double mean

Mean pixel intensity Can be used to reconstruct the original values of the template.

sigma

double sigma

standard deviation of pixel intensity

Class boofcv.struct.feature.NccFeatureQueue

class NccFeatureQueue extends DogArray<NccFeature> implements Serializable

Serialized Fields

descriptorLength

int descriptorLength

Class boofcv.struct.feature.TupleDesc_B

class TupleDesc_B extends Object implements Serializable

Serialized Fields

data

int[] data

numBits

int numBits

Class boofcv.struct.feature.TupleDesc_F32

class TupleDesc_F32 extends Object implements Serializable

Serialized Fields

data

float[] data

Class boofcv.struct.feature.TupleDesc_F64

class TupleDesc_F64 extends Object implements Serializable

Serialized Fields

data

double[] data

Class boofcv.struct.feature.TupleDesc_I8

class TupleDesc_I8 extends Object implements Serializable

Serialized Fields

data

byte[] data

Class boofcv.struct.feature.TupleDesc_S8

class TupleDesc_S8 extends TupleDesc_I8<TupleDesc_S8> implements Serializable

Class boofcv.struct.feature.TupleDesc_U8

class TupleDesc_U8 extends TupleDesc_I8<TupleDesc_U8> implements Serializable

Package boofcv.struct.geo

Class boofcv.struct.geo.QueueMatrix

class QueueMatrix extends DogArray<DMatrixRMaj> implements Serializable

Package boofcv.struct.image

Class boofcv.struct.image.GrayF

class GrayF extends ImageGray<T extends GrayF<T>> implements Serializable

Class boofcv.struct.image.GrayF32

class GrayF32 extends GrayF<GrayF32> implements Serializable

Serialized Fields

data

float[] data

Class boofcv.struct.image.GrayF64

class GrayF64 extends GrayF<GrayF64> implements Serializable

Serialized Fields

data

double[] data

Class boofcv.struct.image.GrayI

class GrayI extends ImageGray<T extends GrayI<T>> implements Serializable

Class boofcv.struct.image.GrayI16

class GrayI16 extends GrayI<T extends GrayI16<T>> implements Serializable

Serialized Fields

data

short[] data

Class boofcv.struct.image.GrayI8

class GrayI8 extends GrayI<T extends GrayI8<T>> implements Serializable

Serialized Fields

data

byte[] data

Class boofcv.struct.image.GrayS16

class GrayS16 extends GrayI16<GrayS16> implements Serializable

Class boofcv.struct.image.GrayS32

class GrayS32 extends GrayI<GrayS32> implements Serializable

Serialized Fields

data

int[] data

Class boofcv.struct.image.GrayS64

class GrayS64 extends ImageGray<GrayS64> implements Serializable

Serialized Fields

data

long[] data

Class boofcv.struct.image.GrayS8

class GrayS8 extends GrayI8<GrayS8> implements Serializable

Class boofcv.struct.image.GrayU16

class GrayU16 extends GrayI16<GrayU16> implements Serializable

Class boofcv.struct.image.GrayU8

class GrayU8 extends GrayI8<GrayU8> implements Serializable

Exception boofcv.struct.image.ImageAccessException

class ImageAccessException extends RuntimeException implements Serializable

Class boofcv.struct.image.ImageBase

class ImageBase extends Object implements Serializable

Serialized Fields

height

int height

Number of rows in the image.

imageType

ImageType imageType

Description of the image data structure

startIndex

int startIndex

Index of the first pixel in the data array

stride

int stride

How many elements need to be skipped over to go one row down.

subImage

boolean subImage

Indicates if it is a sub-image or not

width

int width

Number of columns in the image.

Class boofcv.struct.image.ImageGray

class ImageGray extends ImageBase<T extends ImageGray<T>> implements Serializable

Class boofcv.struct.image.ImageInterleaved

class ImageInterleaved extends ImageMultiBand<T extends ImageInterleaved<T>> implements Serializable

Serialized Fields

numBands

int numBands

How many color bands are contained in each pixel

Class boofcv.struct.image.ImageMultiBand

class ImageMultiBand extends ImageBase<T extends ImageMultiBand<T>> implements Serializable

Class boofcv.struct.image.ImageType

class ImageType extends Object implements Serializable

Serialized Fields

dataType

ImageDataType dataType

Specifies the type of data used to store pixel information

family

ImageType.Family family

Specifies the image data structure

numBands

int numBands

Number of bands in the image. Single band images ignore this field.

Class boofcv.struct.image.InterleavedF32

class InterleavedF32 extends ImageInterleaved<InterleavedF32> implements Serializable

Serialized Fields

data

float[] data

Class boofcv.struct.image.InterleavedF64

class InterleavedF64 extends ImageInterleaved<InterleavedF64> implements Serializable

Serialized Fields

data

double[] data

Class boofcv.struct.image.InterleavedI16

class InterleavedI16 extends InterleavedInteger<T extends InterleavedI16<T>> implements Serializable

Serialized Fields

data

short[] data

Class boofcv.struct.image.InterleavedI8

class InterleavedI8 extends InterleavedInteger<T extends InterleavedI8<T>> implements Serializable

Serialized Fields

data

byte[] data

Class boofcv.struct.image.InterleavedInteger

class InterleavedInteger extends ImageInterleaved<T extends InterleavedInteger<T>> implements Serializable

Class boofcv.struct.image.InterleavedS16

class InterleavedS16 extends InterleavedI16<InterleavedS16> implements Serializable

Class boofcv.struct.image.InterleavedS32

class InterleavedS32 extends InterleavedInteger<InterleavedS32> implements Serializable

Serialized Fields

data

int[] data

Class boofcv.struct.image.InterleavedS64

class InterleavedS64 extends ImageInterleaved<InterleavedS64> implements Serializable

Serialized Fields

data

long[] data

Class boofcv.struct.image.InterleavedS8

class InterleavedS8 extends InterleavedI8<InterleavedS8> implements Serializable

Class boofcv.struct.image.InterleavedU16

class InterleavedU16 extends InterleavedI16<InterleavedU16> implements Serializable

Class boofcv.struct.image.InterleavedU8

class InterleavedU8 extends InterleavedI8<InterleavedU8> implements Serializable

Class boofcv.struct.image.Planar

class Planar extends ImageMultiBand<Planar<T extends ImageGray<T>>> implements Serializable

Serialized Fields

bands

T extends ImageGray<T>[] bands

Set of gray scale images

type

Class<T extends ImageGray<T>> type

Type of image in each band

Package boofcv.struct.pyramid

Class boofcv.struct.pyramid.ConfigDiscreteLevels

class ConfigDiscreteLevels extends Object implements Serializable

Serialized Fields

minHeight

int minHeight

if not -1 then it specifies the minimum width/height of the highest level in the pyramid

minWidth

int minWidth

if not -1 then it specifies the minimum width/height of the highest level in the pyramid

numLevelsRequested

int numLevelsRequested

if not -1 then it specifies the number of levels in the pyramid

Package org.bytedeco.copiedstuff

Exception org.bytedeco.copiedstuff.FrameGrabber.Exception

class Exception extends IOException implements Serializable