Package boofcv.alg.disparity.block.score
Class DisparitySparseRectifiedScoreBM_S32<T extends ImageGray<T>>
java.lang.Object
boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM<int[],T>
boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM_S32<T>
- Direct Known Subclasses:
SparseScoreRectifiedCensus.Census,SparseScoreRectifiedSad.S16,SparseScoreRectifiedSad.U16,SparseScoreRectifiedSad.U8
public abstract class DisparitySparseRectifiedScoreBM_S32<T extends ImageGray<T>>
extends DisparitySparseRectifiedScoreBM<int[],T>
Implementation of DisparitySparseRectifiedScoreBM that processes integer typed images.
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Field Summary
FieldsFields 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
ConstructorsModifierConstructorDescriptionprotectedDisparitySparseRectifiedScoreBM_S32(int radiusX, int radiusY, Class<T> imageType) -
Method Summary
Modifier and TypeMethodDescriptionvoidconfigure(int disparityMin, int disparityRange) Configures the disparity searchMethods inherited from class boofcv.alg.disparity.block.score.DisparitySparseRectifiedScoreBM
copy, getScoreLtoR, getScoreRtoL, processLeftToRight, processRightToLeft, scoreDisparity, setBorder, setImages, setSampleRegion
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Field Details
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scoreLtoR
protected int[] scoreLtoR -
scoreRtoL
protected int[] scoreRtoL
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Constructor Details
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DisparitySparseRectifiedScoreBM_S32
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Method Details
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configure
public void configure(int disparityMin, int disparityRange) Description copied from class:DisparitySparseRectifiedScoreBMConfigures the disparity search- Overrides:
configurein classDisparitySparseRectifiedScoreBM<int[],T extends ImageGray<T>> - Parameters:
disparityMin- Minimum disparity that it will check. Must be ≥ 0 and < disparityMaxdisparityRange- Number of possible disparity values estimated. The max possible disparity is min+range-1.
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