boofcv.alg.feature.disparity

Class SelectRectBasicWta<Array,Disparity extends ImageGray>

java.lang.Object

boofcv.alg.feature.disparity.SelectRectBasicWta<Array,Disparity>

All Implemented Interfaces:

DisparitySelect<Array,Disparity>

Direct Known Subclasses:

ImplSelectRectBasicWta_F32_U8, ImplSelectRectBasicWta_S32_U8

public abstract class SelectRectBasicWta<Array,Disparity extends ImageGray>
extends java.lang.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.

Constructor Summary

Constructors

Constructor and Description
SelectRectBasicWta()

Method Summary

Modifier and Type	Method and Description
void	configure(Disparity imageDisparity, int minDisparity, int maxDisparity, int radiusX) Specifies the output and algorithmic configuration.

Methods inherited from class java.lang.Object

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

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

getDisparityType, process

Constructor Detail

SelectRectBasicWta

public SelectRectBasicWta()

Method Detail

configure

public void configure(Disparity imageDisparity,
                      int minDisparity,
                      int maxDisparity,
                      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.

minDisparity - Minimum disparity that can be computed

maxDisparity - Maximum disparity that is calculated

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