boofcv.alg.feature.disparity.impl

Class ImplSelectSparseStandardWta_F32

java.lang.Object

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

boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_F32

All Implemented Interfaces:

DisparitySparseSelect<float[]>

Direct Known Subclasses:

SelectSparseStandardSubpixel.F32

public class ImplSelectSparseStandardWta_F32
extends SelectSparseStandardWta<float[]>

Implementation of SelectSparseStandardWta for score arrays of type F32.

DO NOT MODIFY. Generated by GenerateSelectSparseStandardWta.

Field Summary

Fields

Modifier and Type	Field and Description
protected float	textureThreshold

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

disparity, maxError

Constructor Summary

Constructors

Constructor and Description
ImplSelectSparseStandardWta_F32(int maxError, double texture)

Method Summary

Modifier and Type	Method and Description
boolean	select(float[] scores, int maxDisparity) Examines disparity scores and looks for the best correspondence.
protected void	setTexture(double texture) Sets the texture threshold.

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

getDisparity

Methods inherited from class java.lang.Object

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

Field Detail

textureThreshold

protected float textureThreshold

Constructor Detail

ImplSelectSparseStandardWta_F32

public ImplSelectSparseStandardWta_F32(int maxError,
                                       double texture)

Method Detail

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(float[] scores,
                      int maxDisparity)

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:

scores - Set of disparity scores.

maxDisparity - Maximum allowed disparity.

Returns:

true if a valid correspondence was found