BoofCV Change Log
From BoofCV
Jump to navigationJump to searchChange Log
Date Format: year/month/day
Date : 2013/04/15 Version : Alpha 0.14
- Added histogram to ImageStatistics
- Calibration target's binary threshold is selected using image histogram to make it more tolerant to shadows
- Calibration grid size does not refer to number of black squares any more. Instead to number of square total.
- Added image enhancement operations
- Global histogram
- Local histogram
- Sharpen 4 and 8
- Demonstration to example directory
- Interface for V4L4J to provide webcam support
- ImageMiscOps
- added fillBorder()
- BinaryImageOps
- Changed API and algorithms used to label blobs and find their contour
- New algorithm is about 3x faster in all situations.
- Canny edge has been improved
- Can be configured to create a binary image output or a set of contours
- Conour pixels are now ordered and returned as a graph
- Fixed bug in FactoryImageBorder.value()
- Color Models (Added)
- Added HSV, YUV
- Added new example demonstrating simple color based segmentation
- XML Serialization
- Switched over to using XStream since XMLEncoder is broken in Java 1.7.
- XStream also produces easier to read XML
- Added ConfigFast. Configuration class for FAST feature detector
- Image Pyramids and Scale*Space
- Added additional functions to ImagePyramid interface that provide information on how the image is sample and the amount of blur in it
- There is no separate class for updating image pyramids any more. The image pyramid takes in the input image
- Scale*Space pyramids have been moved into the pyramid package instead of having its own
- Bug Fix: FeatureLaplacePyramid now looks for local maximum or minimum in searching across scales
- Removed GaussianScaleSpace class since it can now be represented using ImageFloatPyramid
- Added ExampleStereoDisparity3D and tweaked the first one
- Shape Fitting (Added)
- Fit polygon
- Fit ellipse
- Usage examples
- BRIEF description computation is 30% faster
- Made it easier to create mosaics from colored images and updated examples
- Generalized several classes so that images other than single band can be used
- VideoInterface
- SimpleImageSequence
- Added average down sampling and a related discrete image pyramid
- Android: YUV to RGB now works
- ExampleImageStitching has rendering code pushed into it
Date : 2013/02/16 Version : Alpha 0.13
- Removed TupleDescQueue
- Use UtilFeature.createFeature() instead or extend FastQueue
- Fixed bug in ImplSelectSparseStandardWta_* where peak checks for 0 disparity were incorrectly handled
- FactoryPointSequentialTracker tweaked tracker configurations for better SFM performance
- PointTrackerKltPyramid can now create new data to store tracks after init
- Made scale configurable in corner based interest points
- Renamed GeneralAssociation to AssociateDescription
- Added AssociateDescription2D for association with location info
- ScoreAssociateCorrelation no longer takes the abs()
- SIFT
- Accounts for offset during sub-sampling
- Documents deviations from paper in pyramid construction
- Tweaked pyramid construction
- Tweaked non-maximum suppression
- Improved handling of Max Features in SURF + SIFT
- All features are considered in order of intensity
- Features are no longer added once the max has been reached
- Point Trackers
- Renamed and changed function
- Created interface for extracting feature descriptions
- Added variant designed for two pass tracking
- Chessboard and Square grid calibration target detectors
- Made minimum blob automatically adjust to image size
- Made it user configurable
- These changes allow calibration of 320x240 images
- Fixed multiple bugs/issues so that it detects targets more reliably
- PerspectiveOps.scaleIntrinsic() changes image width/height
- Improved unit tests for MultiSpectral images
- ImageConvert
- Added support for ImageSInt64
- Added support for MultiSpectral to SingleBand using average
- Added GImageConvert
- Code to convert between different types of TupleDesc
- Fixed bug in TupleDesc_F64 SAD scorer
- Added approximate nearest neighbor from DDogleg
- k-d tree best-bin-first
- k-d random forest
- Changing the way complex algorithm are configured
- Instead of passing in parameters to a factory a config class is passed in.
- Affected: SIFT, SURF
- PixelMath
- Fixed bug in PixelMath.subtract for ImageUInt8
- Thanks Paul Dumais for reporting the problem
- Added PixelMath.invert()
- Fixed bug in PixelMath.subtract for ImageUInt8
- Associate and ScoreAssociation
- Added ability to set a threshold via Associate interface
- Can get a list of unassociate destination features
- Can determine if the algorithm selects a unique match for source and destination
- Created MatchScoreType to provide more information on the score's behavior
- Created EasyGeneralFeatureDetector
- Automatically handles image derivatives
- Split off from WrapGeneralFeatureDetector
- GeneralFeatureDetector
- moved to alg package
- can now detect local minimums
- Removed ability to segment image. Turned out to not be all that useful, just increase the size of the non-maximum region.
- Non-Maximum supression
- Renamed FeatureExtractor to NonMaxSuppression
- Removed the parameter for requesting the number of returned features
- All algorithms contained a bug where the ignore border was being incorrectly enforced
- Added support for detecting maximums and minimums
- Renamed FeatureExtractor to NonMaxSuppression
- Fixed bugs in SortBestFeatures and added sort for negative peaks
- GeneralFeatureIntensity: Added flags to indicate if features are maximum or minimums
- Calibration package was missing from Maven build
- Removed maxMatches from greedy assocaition since its not part of Association interface and can be easily added
- Android
- ConvertNV21 * Convert camera preview images into BoofCV image types
- VisualizeImageData * Render different types of image information into a visible format
- Fixed bug in RemoveRadialPto*_* where it couldn't detect convergence
- 2D stabilization checks image fraction contained by points before spawning more points
- LaplacianEdge added suport for U8 in and F32 out
- Added kernel based (using LaplacianEdge) blob detector
- GridRansacLineDetector has support for S16 an F32
- Redesigned image stabilization and mosaic code
- Much easier to work with now and can be plugged in a high level
- Added a factory for creating related algorithms
- Stereo Disparity: support for ImageSInt16
Date : 2012/12/05 Version : Alpha 0.12
- Fixed inverse wavelet transform so that it bounds the pixel values
- Wavelet denoising sometimes overflowed
- Adding new feature tracker which combines KLT and DDA style tracking
- Updated Pyramid KLT tracker
- Removed PkltTrackManager and pushed its functionality into the ImagePointTracker implementation
- Was only separate for historical reasons
- renamed PstWrapperPyramidKlt to PointTrackerKltPyramid
- Deleted GenericPkltFeatureSelector and put into KLT point tracker
- Moved what was left into KLT directory
- ImagePointTracker
- Changed contract, more fully specified contract, improved tests
- Updated behavior of implementing classes
- Deleted KeyFramePointTracker
- Added pointless complexity. Use ImagePointTracker instead
- Changed 2D and 3D SFM algorithms which were using it
- Fixed bugs in various feature descriptors setTo() and copy() functions:
- SurfFeature
- TupleDesc_B
- NccFeature
- Feature Descriptors
- No longer have hidden orienation estimation algorithms inside
- Feature Orienation
- Interfaces moved to abst package
- Created wrappers to convert different types into image input
- Added a new factory
- Created DetectDescribePoint interface
- Combines detection and describing into a single interface
- Useful for algorithms which have coupled data structures are are more efficient this way.
- FactoryPointSequentialTracker has been tweaked a bit
- GeneralAssociation provides two functions for specifying the source and destination lists
- Allows better optimization since preprocessing might only need to be done once
- ConvertBufferedImage
- Added support for sub-image BufferedImages
- All numerics code has been put into its own project
- Reworking several basic image operations
- Created ImageMiscOps
- Created ImageStatistics
- Deleted ImageTestingOps
- Changed PixelMath
- Changed GeneralizedImageOps
- Added setTo() in ImageBase
- FastHessianFeatureDetector now recycles ScalePoints that it detects
- Removed canoncialRadius() from feature detector and descriptor
- It was poorly implemented
- Was not consistent with scale-space theory
- Added 2D convolution in KernelMath
- Maven build has been added.
- BoofCV is on the central repository
- Added SIFT feature descriptor and detector
- Removed seperable kernel
- Wasn't being used and there is no need for it with more modern techniques
- Plus it was causing a unit test to fail
- Removed Gaussian12 and Steerable feature descriptors
- They sucked and were not properly implemented limited their historical value
Date : 2012/11/6 Version : Alpha 0.11
- Association Score
- Normalized Cross Correlation (NCC) has been fixed (yet again) in ScoreAssociateNccFeature where the abs() was incorretly being taken.
- Fixed bug in NccFeature.setTo()
- FactoryAssociation
- Added NCC to defaultScore()
- Template Matching
- Added NCC template matching algorithm
- TemplateScoreType: ERROR_SQUARED renamed to SUM_DIFF_SQ
- ModelSet
- Original index of inlier set can be requested now
- Removed the ability to generate multiple hypotheses. Was not needed after all.
- RANSAC score has been deleted and RANSAC simplified
- RectifyImageOps
- Cleaned up function names and improved documentation
- LensDistortionOps
- Added transformRadialToPixel_F64()
- Reorganized functions in geometric vision package
- Created MultiViewOps and PerspetiveOps
- Refactored/deleted other related Util classes
- Enums are now used to select which algorithm is returned in the Factory in many cases
- New interfaces for each problem and improved JavaDoc
- Moved AssociatedPair and PointPositionPair to boofcv.struct.geo package
- Trifocal Tensor
- Added related functions to MultiViewOps
- Added linear estimator for 7+ points
- PnP Problem
- Added two P3P solutions
- Analytic Jacobian for non-linear refinement
- Refactored class names for better consistency
- Fixed bugs in StereoSparse3D
- Fixed bug in DistortImageOps.boundBox_F32()
- Added ImageGridPanel to display a set of images as a grid
- ModelMatcher added getMinimumSize()
- Renamed PointPosePair to Point2D3D since the old name was misleading
- Visual Odometry
- Added stereo camera based algorithm that uses PnP for pose estimation
- Removed broken mono and stereo algorithms
- DetectAssociateTracker
- Changed from an abstract class into a regular class
- Deleted SURF,BRIEF,NCC specific implementations since they are no longer needed
- AssociatedPair
- renamed key and curr points to p1 and p2
- new names are more generic and consistent
- DetectAssociateTracker
- Changed internal design a bit and fixed bugs
- Performs well in structure from motion applications (2D and 3D)
- ImagePointTracker accessors changed so that a storage list is requested
- Makes usage easier since now its impossible to drop a track while reading from the main list.
- Updated implementations so that the internal list is not returned
- Removed addTrack() since only KLT supported that functionality, hence not generic.
- ConvertBufferedImage
- Fixed bug where INDEXED images where not being converted correctly
Date : 2012/09/18 Version : Alpha 0.10
- Association Score
- Pushed implementations of ScoreAssociation into abst package
- Put most association distance algorithms into DescriptorDistance
- Added hamming lookup table
- Brief now uses a look up table. About a 7x speed improvement.
- FactoryAssociate now can create instances of ScoreAssociate.
- Fixed incorrect NCC equation. Thanks Christian Kramer.
- DescribeRegionPoint has been redesigned
- Now more generic and can work with any feature descriptor
- Separate function for checking to see if feature is inside bounds
- TupleDesc
- changed to an interface
- functions added to provide some generic support
- Brief descriptor renamed to TupleDesc_B
- Acts as a generic binary feature descriptor
- Descriptors
- BRIEF and BRIEF-SO now can process features along the image border. Bit set to false in that case.
- Visualization Apps
- VisualizeAssociationScoreApp has score type in a separate panel and can support binary descriptors
- InterestPointDetector
- WrapFHtoInterestPoint now returns the correct detection radius
- Fixed non-compliant implementations with incorrectly handled unsupported features. Thanks jasonnn for submitting this bug
- FAST Feature Detector
- Original implementation was buggy and did not produce same results as original author's code
- Rewrote from scratch and replicates original author results
- GeneralFeatureDetector moved from extract to interest package
- Fundamental/Essential Matrix
- 7-point algorithm now returns all solutions and the algorithm was tweaked
- Nister 5-pt Essential Matrix
- Abstractions which can handle multiple solutions
- Stability evaluator for epipolar matrices
- Improved unit tests
- Polynomials
- Various ways to find and polish polynomial roots (EVD and Sturm)
- New data type and basic operations
- Added ExampleStereoTwoViewsOneCamera
- Demonstrates how to perform stereo image processing using a single camera and two views
- LensDistortionOps
- Added normalized to distorted pixel transform
- Tweaked some of the function names
- SparseIntegralSample_I32.isInBounds() did not return that correct value along the right and bottom image border
- Functions inside of GThresholdImageOps did not return the number of blobs found like it should
- Thanks jasonnn
- NonMaxBlockStrict
- Fixed bug where it assumed intensity values were all positive
- TemplateMatching
- Added code for template matching
- Added example code to demonstrate its use
- Added support for alpha channel in ConvertBufferedImage
- FactoryPointSequentialTracker doesn't create trackers with FAST detector instead uses ShiTomasi to improve stability
Date : 2012/7/22 Version : Alpha 0.9
- Renamed factories
- FactoryBlobDetector -> FactoryDetectPoint
- FactoryCornerDetector -> FactoryDetectPoint
- Renamed KLT corner to Shi Tomasi corner, which is more standard
- Fixed bug various point detectors where if the input image was resized the edge intensity might not be zero when it should be
- Changed some corner detection algorithms to take the intensity image in as an input.
- Added new Pixel to Normalized transform
- Created interface for Stereo visual odometry
- Fixed bug in unsafe_set inside of ImageInt8
- Added unsafe_set() and unsafe_get() to ImageFloat32, ImageFloat64, ImageSInt64
- Fixed bug in ImageSInt64.set() where the value was cast into a short
- Changed transform* functions inside of DistortImageOps so that you can specify how outside image pixels are handled.
- Fixed bug in ImageHistogramPanel - reported by Ray
- Added support for integer images
- Integration
- Created ant build scripts
- Updated Xuggler integration code
- Added Android
- Generalized SimpleImageSequence so that it does not reference BufferedImage and will play nicer with Android
- Fixed bug in ImplImageDistort* where for 16bit and 32 bit images values were being type casted into bytes
- Changed UnconstrainedMinimization so that the minimum function value is specified in setFunction()
- Added ExampleContours
- Thanks cspnanda for pointing out the lack of documentation
- New non-maximum suppression algorithm
- About the same for 3x3 regions, much faster for larger regions
- Tweaked related API and improved unit tests
- Fixed bug in WrapDescrivePixelRegion where the descriptor is not properly configured for integer images
Date : 2012/05/13 Version : Alpha 0.8
IMPORTANT Discard old calibration files and calibrate again with latest code!
- Added processing monitor to CalibrateStereoPlanarGuiApp
- Fixed bug in Zhang99 calibration where Rodrigues coordinates were being parameterized incorrectly
- Calibration results would be less accurate, but have a lower residual due to the increased degree of freedom
- Added analytic Jacobian to Zhang99
- Decided not to use it since it produces same estimation parameters as numerical.
- Added functions for creating detectors in FactoryPlanarCalibrationTarget
- changed code to reference those functions
- Stereo Disparity Image
- Dense and Sparse algorithms
- Rectangular region winner take all (WTA)
- Validation: right to left, max error, texture
- Precision: Pixel and Subpixel
- Algorithms:
- Basic rectangular region
- Five region adaptive: Hirschmuller, et. al. "Real-Time Correlation-Based Stereo Vision with Reduced Border Errors," 2002
- IntrinsicParameters
- Added flipY to parameter list since it is vital information for many calculations.
- RectifyImageOps
- Fixed bug in functions that adjusted the rectification for viewing. If left handed the coordinate systems got messed up
- Changed allInside() so that the annoying single pixel black region is gone
- RectifyImageOps and LensDistortOps
- FactoryCornerDetector
- Added flag for weighted KLT and Harris
- Added weighted corners to list of features in some evaluation apps
- Examples:
- ExampleCalibrateMonocularPoints
- ExampleDetectCalibrationPoints
- ExampleStereoDisparity
- ImageTestingOps
- Flip image vertical
- Fast point cloud viewer
Date : 2012/04/22
Version : Alpha 0.7
- Redesigned how evaluation apps/applets handle data input and configuration
- Removed the epipolar directory
- More than just stereo algorithms in there
- Camera calibration outputs XML file containing intrinsic parameters
- Java XML serialization
- For square calibration grids, added sub-pixel refinement using canny edge
- Fixed a bug in camera calibration where it transposed the grid instead of rotating it if the number of rows/columns needed to be swapped.
- 3D Vision Algorithms
- Estimate translation given rotation and two observations
- Refine pose estimate given set of 3D points and observations
- Interface for n-view triangulation
- Bundle adjustment for calibrated cameras
- Analytic Jacobian
- A bit slow right now
- Changed behavior of GeneralFeatureDetector
- Supports sub-region extraction. Forces features to be more spread out
- Max N now is the total number of features, including excludes
- Improved speed of Levenberg algorithm by taking advantage of symmetry
- UtilEpipolar
- Added canonicalCamera() and decomposeCameraMatrix()
- Created the following Util and Ops classes
- UtilIntrinsic
- LensDistortionOps
- RectifyImageOps
- Stereo Rectification
- Calibrated with known baseline
- Uncalibrated, from using a fundamental matrix.
- Adjust rectification to maximize usefull viewing area
- New Examples
- Estimate fundamental matrix
- Rectify calibrated
- Rectify fundamental matrix
- Remove lens distortion
- The feature score was not being set in WrapAssociateGreedy
- Thanks Nir Amar
- Also changed AssociateSurfBasic for a similar reason
- Fixed problem in FundamentalResidualSampson where the denominator was being squared
- Fixed problem in Se3 Essential generator
- Changed positive depth constraint class
Date : 2012/03/01
Version : Alpha 0.6
- Added convolution related code for ImageSInt32
- Added weighted KLT and Harris corner detectors
- Refactored factory names and other classes to make them easier to find and more consistent
- Planar calibration grid detectors
- Chess board pattern
- Square grid pattern
- Generic code for detecting squares in binary images
- Inside of calibration module
- Application for calibration from planar calibration targets
- GUI and commandline
- ImageDistort
- Fixed bug where border.setImage() was not being called
- ImageBorder
- Added generalized get(x,y)
- Refactored FactoryImageBorder into two factories
- Fixed bug in several derivative operators where the passed in border was being ignored and an extended border being used instead
- Change ImplImageDistort* to use interpolate.get_unsafe() to speed it up by a large margin
- Moved ImageDistort from boofcv.alg.distort to boofcv.struct.distort
- Added PointTransform_F32
- Added both forward and reverse radial distortion PixelTransform_F32 implementations
- ModelMatcher classes can now create multiple model hypotheses from a single set of points.
- Changed ImagePointTracker to use PointTrack instead of AssociatedPair
- Created KeyFramePointTracker to track features and create AssociatedPairs
- Added FactoryEpipolar
- Added FactoryTriangulate
- Added non-linear refinement for:
- Fundamental/Essential matrix
- Homography matrix
- Triangulation
- Added 2-view and N-View triangulation algorithms
- DLT
- Closest point from two lines
- Added EPnP from Lepetit 2009 paper
- Validation against author's code is pending
- Added color processing to several Apps
- EvaluateInterpolateEnlargeApp
- ShowImageBlurApp
- Added SimpleNumberSequenceReader for reading small sequences of numbers
- Added lens distortion app
- Found sudbtle bug in Harris corner detector.
- Surprisingly doesn't seem to change output.
Date : 2012/02/01
Version : Alpha 0.5
- Improved SURF performance
- Fixed various bugs and changed algorithm to improve performance
- Both speed and stibility have been improved
- Now is the best performing SURF implementation in the benchmark
- Fixed various bugs and changed algorithm to improve performance
- ImplOrientationSlidingWindowIntegral has been replaced with a faster and more accurate algorithm
- Improved integral image support
- Improved sparse gradient support
- Refactored sparse image operator code
- Added SparseImageSample interface
- Added/Improved unconstrained non-linear optimization code
- Quasi-Newton line search
- Levenberg-Marquardt
- Geometric vision and calibration code which uses non-linear optimization now works correectly
- Started converting internal micro benchmarks to use Caliper
Date : 2012/01/06
Version : Alpha 0.4
- Changed behavior of ConvertBufferedImage so that it won't automatically swap bands in MultiSpecitral image
- orderBandsIntoRGB() has been provided to do that manually if needed
- All automatic convert to/from BGR and been removed from ConvertRaster
- Fixed SURF related issue
- Image bounds check was being incorrectly performed for integral image orientation estimation algorithms (Thanks Oleg Chernoguz for pointing this out)
- FactoryOrientationAlgs.sliding_ii() was creating an average orienation alg for I32 images
- Some coordinates were integer instead of double
- Added comments to several factories and other classes
- Added ant script for examples and readme.txt explaining how to use it
Date : 2012/01/02
Version : Alpha 0.3
- Camera Calibration
- Planar grid (Zhang 98)
- Camera calibration matrix from homographies
- Linear radial distortion
- Decomposition of homography for calibration
- Nonlinear optimization of all parameters
- Calibration Grid Detection
- Detects corners up to "pixel accuracy", in reality its probably worse than that
- Sub-pixel accuracy code exists but needs more work
- Added min and max values to ImageTestingOps.addGaussian()
- Tweaked factories related to wavelet denoising so that they take in an image type.
- Removed cyclical dependency between modules by creating a visualize modules
- Added to BinaryImageOps
- label to clusters
- clusters to binary
- Renamed ImageBase to ImageSingleBand
- Created a new ImageBase
- Flushed out MultSpectral image type more and extended ImageBase
- Created functions to convert to and from BufferedImage
- Changed behavior of several functions in GeneralizedImageOps to include MultiSpectral images
- refactor createImage -> createSingleBand
- Updated ant scripts
- Common template is now used for the different modules
- Fixed unit test and make it work across the whole project
- Added crop to ImageDistort
- If cropping is used the only part of the destimation image is processed
- Created calibration package to hold calibration related code
- Moved jars not part of the primary build into boofcv/lib/testing
- Started converting runtime benchmark code over to Caliper
Date : 2011/12/01
Version : Alpha 0.2
- Added integer polynomial interpolation
- Cleaned up polynomial interpolation code
- Fixed bug in PixelMath.bound() dealing with unsigned images
- Converting to a BufferedImage now marks it as modified
- Added min and max pixel values to ImageTypeInfo
- Added ComplexMath
- Added PolynomialSolver
- Added process(image) to PointSequentialTracker and renamed it to ImagePointTracker
- Added the following 3D vision code:
- Linear 8-point essential/fundamental matrix
- Linear 7-point essential/fundamental matrix
- Linear 4-point homography
- Extract camera motion from essential
- Extract camera and plane normal from homography
- Triangulate: Linear pixel depth
- Projective N Point (PNP): Linear N >= 6
- Added non-linear optimizer based upon Levenberg-Marquardt
- Added pixel region based descriptors
- Raw pixel values
- Normalized Cross Correlation (NCC)
- Added pixel region based trackers
- Added Sum of Absolute Difference (SAD) score for feature association with a few different descriptor types.
Date : 2011/11/01
Version : Alpha 0.1
- Initial public release