Package boofcv.alg.disparity.block.select

Class SelectSparseCorrelationWithChecksWta_F32

java.lang.Object

boofcv.alg.disparity.block.SelectSparseStandardWta<float[]>

boofcv.alg.disparity.block.select.SelectSparseCorrelationWithChecksWta_F32

All Implemented Interfaces:

DisparitySparseSelect<float[]>

Direct Known Subclasses:

SelectSparseCorrelationSubpixel.F32

public class SelectSparseCorrelationWithChecksWta_F32
extends SelectSparseStandardWta<float[]>

Selects the best correlation score with sanity checks.

Field Summary

Fields

Modifier and Type	Field	Description
protected float	textureThreshold

Fields inherited from class boofcv.alg.disparity.block.SelectSparseStandardWta

disparity, maxError, tolRightToLeft

Constructor Summary

Constructors

Constructor	Description
SelectSparseCorrelationWithChecksWta_F32(double texture, int tolRightToLeft)

Method Summary

Modifier and Type	Method	Description
boolean	select(DisparitySparseRectifiedScoreBM<float[],?> scorer, int x, int y)	Examines disparity scores and looks for the best correspondence.
protected void	setTexture(double texture)	Sets the texture threshold.

Methods inherited from class boofcv.alg.disparity.block.SelectSparseStandardWta

getDisparity, setValidateRtoL

Methods inherited from class java.lang.Object

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

Field Details

textureThreshold

protected float textureThreshold

Constructor Details

SelectSparseCorrelationWithChecksWta_F32

public SelectSparseCorrelationWithChecksWta_F32(double texture,
 int tolRightToLeft)

Method Details

setTexture

protected void setTexture(double texture)

Description copied from class: SelectSparseStandardWta

Sets the texture threshold.

Specified by:

setTexture in class SelectSparseStandardWta<float[]>

Parameters:

texture - Texture threshold.

select

public boolean select(DisparitySparseRectifiedScoreBM<float[],?> scorer,
 int x,
 int y)

Description copied from interface: DisparitySparseSelect

Examines disparity scores and looks for the best correspondence. If no correspondence can be found then false is returned.

Parameters:

scorer - Computes the disparity score

x - Pixel coordinate x-axis

y - Pixel coordinate y-axis

Returns:

true if a valid correspondence was found