Package boofcv.alg.disparity.block.score

Class DisparitySparseRectifiedScoreBM_F32

java.lang.Object

boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM<float[],GrayF32>

boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM_F32

Direct Known Subclasses:

SparseScoreRectifiedSad.F32

public abstract class DisparitySparseRectifiedScoreBM_F32
extends DisparitySparseRectifiedScoreBM<float[],GrayF32>

Implementation of DisparitySparseRectifiedScoreBM that processes images of type GrayF32.

Field Summary

Fields

Modifier and Type	Field	Description
protected float[]	scoreLtoR
protected float[]	scoreRtoL

Fields inherited from class boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM

blockHeight, blockWidth, border, disparityMax, disparityMin, disparityRange, inputType, left, localRangeLtoR, localRangeRtoL, patchCompare, patchTemplate, radiusX, radiusY, right, sampledHeight, sampledWidth, sampleRadiusX, sampleRadiusY

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	DisparitySparseRectifiedScoreBM_F32(int radiusX, int radiusY)

Method Summary

Modifier and Type	Method	Description
void	configure(int disparityMin, int disparityRange)	Configures the disparity search

Methods inherited from class boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM

copy, getScoreLtoR, getScoreRtoL, processLeftToRight, processRightToLeft, scoreDisparity, setBorder, setImages, setSampleRegion

Methods inherited from class java.lang.Object

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

Field Details

scoreLtoR

protected float[] scoreLtoR

scoreRtoL

protected float[] scoreRtoL

Constructor Details

DisparitySparseRectifiedScoreBM_F32

protected DisparitySparseRectifiedScoreBM_F32(int radiusX,
 int radiusY)

Method Details

configure

public void configure(int disparityMin,
 int disparityRange)

Description copied from class: DisparitySparseRectifiedScoreBM

Configures the disparity search

Overrides:

configure in class DisparitySparseRectifiedScoreBM<float[],GrayF32>

Parameters:

disparityMin - Minimum disparity that it will check. Must be ≥ 0 and < disparityMax

disparityRange - Number of possible disparity values estimated. The max possible disparity is min+range-1.