Package boofcv.alg.disparity.block

Class SelectDisparityBasicWta<Array,Disparity extends ImageGray>

java.lang.Object

boofcv.alg.disparity.block.SelectDisparityBasicWta<Array,Disparity>

All Implemented Interfaces:

DisparitySelect<Array,Disparity>

Direct Known Subclasses:

SelectCorrelationWta_F32_U8, SelectErrorBasicWta_F32_U8, SelectErrorBasicWta_S32_U8

public abstract class SelectDisparityBasicWta<Array,Disparity extends ImageGray>
extends Object
implements DisparitySelect<Array,Disparity>

Selects the optimal disparity given a set of scores using a Winner Take All (WTA) strategy without any validation. In other words, it simply selects the region with the smallest error as the disparity. Tends to be significantly faster than when validation is employed but produces many more poor results.

Field Summary

Fields

Modifier and Type	Field	Description
protected int	disparityMax
protected int	disparityMin
protected int	disparityRange
protected SelectDisparityWithChecksWta.SaveScore	funcSaveScore
protected Disparity	imageDisparity
protected @Nullable GrayF32	imageScore
protected int	imageWidth
protected int	radiusX
protected int	regionWidth

Constructor Summary

Constructors

Constructor	Description
SelectDisparityBasicWta()

Method Summary

Modifier and Type	Method	Description
void	configure(Disparity imageDisparity, @Nullable GrayF32 imageScore, int disparityMin, int disparityMax, int radiusX)	Specifies the output and algorithmic configuration.
protected int	disparityMaxAtColumnL2R(int col)	Returns the maximum allowed disparity for a particular column in left to right direction, as limited by the image border.

Methods inherited from class java.lang.Object

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

Methods inherited from interface boofcv.alg.disparity.block.DisparitySelect

concurrentCopy, getDisparityType, process

Field Details

imageDisparity

protected Disparity extends ImageGray imageDisparity

imageScore

@Nullable
protected @Nullable GrayF32 imageScore

disparityMin

protected int disparityMin

disparityMax

protected int disparityMax

disparityRange

protected int disparityRange

radiusX

protected int radiusX

regionWidth

protected int regionWidth

imageWidth

protected int imageWidth

funcSaveScore

protected SelectDisparityWithChecksWta.SaveScore funcSaveScore

Constructor Details

SelectDisparityBasicWta

public SelectDisparityBasicWta()

Method Details

configure

public void configure(Disparity imageDisparity,
 @Nullable
 @Nullable GrayF32 imageScore,
 int disparityMin,
 int disparityMax,
 int radiusX)

Description copied from interface: DisparitySelect

Specifies the output and algorithmic configuration.

Specified by:

configure in interface DisparitySelect<Array,Disparity extends ImageGray>

Parameters:

imageDisparity - Output disparity image.

imageScore - If not null, then the score for best fit disparity will be stored here.

disparityMin - Minimum disparity that can be computed

disparityMax - Maximum disparity that is calculated

radiusX - Radius of the rectangular region being matched along x-axis.

disparityMaxAtColumnL2R

protected int disparityMaxAtColumnL2R(int col)

Returns the maximum allowed disparity for a particular column in left to right direction, as limited by the image border.