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.

Author:

Peter Abeles

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

Methods

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