boofcv.alg.feature.disparity.impl

Class StereoDisparityWtoNaive<I extends ImageGray>

java.lang.Object

boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaive<I>

public class StereoDisparityWtoNaive<I extends ImageGray>
extends java.lang.Object

Very basic algorithm for testing stereo disparity algorithms for correctness and employs a "winner takes all" strategy for selecting the solution. No optimization is done to improve performance and minimize cache misses. The advantage is that it can take in any image type.

Constructor Summary

Constructors

Constructor and Description
StereoDisparityWtoNaive(int minDisparity, int maxDisparity, int radiusWidth, int radiusHeight) Configure parameters

Method Summary

Modifier and Type	Method and Description
void	process(I left, I right, GrayF32 imageDisparity) Computes the disparity for two stereo images along the image's right axis.

Methods inherited from class java.lang.Object

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

Constructor Detail

StereoDisparityWtoNaive

public StereoDisparityWtoNaive(int minDisparity,
                               int maxDisparity,
                               int radiusWidth,
                               int radiusHeight)

Configure parameters

Parameters:

minDisparity - Minimum disparity it will consider in pixels.

maxDisparity - Maximum allowed disparity in pixels.

radiusWidth - Radius of the region along x-axis.

radiusHeight - Radius of the region along y-axis.

Method Detail

process

public void process(I left,
                    I right,
                    GrayF32 imageDisparity)

Computes the disparity for two stereo images along the image's right axis. Both image must be rectified.

Parameters:

left - Left camera image.

right - Right camera image.