Package boofcv.alg.feature.dense

Class BaseDenseHog<I extends ImageBase<I>>

java.lang.Object

boofcv.alg.feature.dense.BaseDenseHog<I>

Direct Known Subclasses:

DescribeDenseHogAlg, DescribeDenseHogFastAlg

public abstract class BaseDenseHog<I extends ImageBase<I>>
extends Object

Base calss for dense HOG implementations.

Field Summary

Fields

Modifier and Type	Field	Description
protected GrayF32	derivX
protected GrayF32	derivY

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BaseDenseHog(int orientationBins, int pixelsPerCell, int cellsPerBlockX, int cellsPerBlockY, int stepBlock, ImageType<I> imageType)	Configures HOG descriptor computation

Method Summary

Modifier and Type	Method	Description
GrayF32	_getDerivX()
GrayF32	_getDerivY()
TupleDesc_F64	createDescription()
int	getCellsPerBlockX()
int	getCellsPerBlockY()
DogArray<TupleDesc_F64>	getDescriptions()	List of descriptors
ImageType<I>	getImageType()
DogArray<Point2D_I32>	getLocations()	List of locations for each descriptor.
int	getOrientationBins()
int	getPixelsPerCell()
int	getRegionWidthPixelX()	Returns the number of pixel's wide the square region is that a descriptor was computed from
int	getRegionWidthPixelY()
int	getStepBlock()
abstract void	process()
void	setInput(I input)	Specifies input image.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

derivX

protected GrayF32 derivX

derivY

protected GrayF32 derivY

Constructor Details

BaseDenseHog

protected BaseDenseHog(int orientationBins,
 int pixelsPerCell,
 int cellsPerBlockX,
 int cellsPerBlockY,
 int stepBlock,
 ImageType<I> imageType)

Configures HOG descriptor computation

Parameters:

orientationBins - Number of bins in a cell's histogram. 9 recommended

pixelsPerCell - Number of pixel's wide a cell is. 8 recommended

cellsPerBlockX - Number of cells's wide a block is. x-axis 3 recommended

cellsPerBlockY - Number of cells's wide a block is. x-axis 3 recommended

stepBlock - Number of cells which are skipped between each block

Method Details

setInput

public void setInput(I input)

Specifies input image. Gradient is computed immediately

Parameters:

input - input image

process

public abstract void process()

getLocations

public DogArray<Point2D_I32> getLocations()

List of locations for each descriptor.

getDescriptions

public DogArray<TupleDesc_F64> getDescriptions()

List of descriptors

_getDerivX

public GrayF32 _getDerivX()

_getDerivY

public GrayF32 _getDerivY()

getRegionWidthPixelX

public int getRegionWidthPixelX()

Returns the number of pixel's wide the square region is that a descriptor was computed from

Returns:

number of pixels wide

getRegionWidthPixelY

public int getRegionWidthPixelY()

getPixelsPerCell

public int getPixelsPerCell()

getCellsPerBlockX

public int getCellsPerBlockX()

getCellsPerBlockY

public int getCellsPerBlockY()

getStepBlock

public int getStepBlock()

getOrientationBins

public int getOrientationBins()

getImageType

public ImageType<I> getImageType()

createDescription

public TupleDesc_F64 createDescription()