boofcv.alg.feature.disparity.impl

Class ImplSelectSparseStandardWta_S32

java.lang.Object

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

boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_S32

All Implemented Interfaces:

DisparitySparseSelect<int[]>

Direct Known Subclasses:

SelectSparseStandardSubpixel.S32

public class ImplSelectSparseStandardWta_S32
extends SelectSparseStandardWta<int[]>

Implementation of SelectSparseStandardWta for score arrays of type S32.

DO NOT MODIFY. Generated by GenerateSelectSparseStandardWta.

Field Summary

Fields

Modifier and Type	Field and Description
protected static int	discretizer
protected int	textureThreshold

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

disparity, maxError

Constructor Summary

Constructors

Constructor and Description
ImplSelectSparseStandardWta_S32(int maxError, double texture)

Method Summary

Methods

Modifier and Type	Method and Description
boolean	select(int[] 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 int textureThreshold

discretizer

protected static final int discretizer

See Also:

Constant Field Values

Constructor Detail

ImplSelectSparseStandardWta_S32

public ImplSelectSparseStandardWta_S32(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<int[]>

Parameters:

texture - Texture threshold.

select

public boolean select(int[] 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