Package boofcv.alg.disparity.block

Class BlockRowScore.ArrayF32<T extends ImageBase<T>>

java.lang.Object

boofcv.alg.disparity.block.BlockRowScore.ArrayF32<T>

All Implemented Interfaces:

BlockRowScore<T,float[],float[]>

Direct Known Subclasses:

BlockRowScore.ArrayS32_BF32

Enclosing interface:

BlockRowScore<T extends ImageBase<T>,ScoreArray,ImageData>

public abstract static class BlockRowScore.ArrayF32<T extends ImageBase<T>>
extends Object
implements BlockRowScore<T,float[],float[]>

Nested Class Summary

Nested classes/interfaces inherited from interface boofcv.alg.disparity.block.BlockRowScore

BlockRowScore.ArrayF32<T extends ImageBase<T>>, BlockRowScore.ArrayS32<T extends ImageBase<T>,ImageData>, BlockRowScore.ArrayS32_BF32, BlockRowScore.ArrayS32_BS32<T extends GrayI<T>,ImageData>, BlockRowScore.ArrayS32_BS64

Constructor Summary

Constructors

Constructor	Description
ArrayF32()

Method Summary

Modifier and Type	Method	Description
int	getMaxPerPixelError()	Returns the maximum error each pixel in the region can contribute RuntimeException should be thrown.
void	normalizeRegionScores(int row, float[] scores, int disparityMin, int disparityMax, int regionWidth, int regionHeight, float[] scoresNorm)	Additional normalization that's applied after the score for a region is known.
void	normalizeScore(int row, int colLeft, int colRight, int numCols, int regionWidth, int regionHeight, float[] scores, int indexScores, float[] scoresNorm)	Applies normalization to a single row
void	scoreRow(int row, float[] leftRow, float[] rightRow, float[] scores, int disparityMin, int disparityMax, int regionWidth, float[] elementScore)	For a given disparity, the score for each region on the left share many components in common.
void	setInput(T left, T right)	Specifies the input images

Methods inherited from class java.lang.Object

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

Methods inherited from interface boofcv.alg.disparity.block.BlockRowScore

getImageType, isRequireNormalize, score, setBorder

Constructor Details

ArrayF32

public ArrayF32()

Method Details

setInput

public void setInput(T left,
T right)

Description copied from interface: BlockRowScore

Specifies the input images

Specified by:

setInput in interface BlockRowScore<T extends ImageBase<T>,float[],float[]>

Parameters:

left - left image

right - right image

scoreRow

public void scoreRow(int row,
float[] leftRow,
float[] rightRow,
float[] scores,
int disparityMin,
int disparityMax,
int regionWidth,
float[] elementScore)

Description copied from interface: BlockRowScore

For a given disparity, the score for each region on the left share many components in common. Because of this the scores are computed with disparity being the outer most loop

Specified by:

scoreRow in interface BlockRowScore<T extends ImageBase<T>,float[],float[]>

Parameters:

row - Image row being examined

scores - Storage for disparity scores.

disparityMin - Minimum disparity to consider

disparityMax - Maximum disparity to consider

regionWidth - Size of the sample region's width

elementScore - Storage for scores of individual pixels

normalizeRegionScores

public void normalizeRegionScores(int row,
float[] scores,
int disparityMin,
int disparityMax,
int regionWidth,
int regionHeight,
float[] scoresNorm)

Description copied from interface: BlockRowScore

Additional normalization that's applied after the score for a region is known. Currently only used by BlockRowScoreNcc.

Specified by:

normalizeRegionScores in interface BlockRowScore<T extends ImageBase<T>,float[],float[]>

Parameters:

row - Image row being examined

scores - Storage for disparity scores.

disparityMin - Minimum disparity to consider

disparityMax - Maximum disparity to consider

regionWidth - Size of the sample region's width

regionHeight - Size of the sample region's height

normalizeScore

public void normalizeScore(int row,
int colLeft,
int colRight,
int numCols,
int regionWidth,
int regionHeight,
float[] scores,
int indexScores,
float[] scoresNorm)

Description copied from interface: BlockRowScore

Applies normalization to a single row

Specified by:

normalizeScore in interface BlockRowScore<T extends ImageBase<T>,float[],float[]>

Parameters:

row - Row that is being normalized

colLeft - column in left image

colRight - column in right image

numCols - number of columns

regionWidth - width of the region

regionHeight - height of the region

scores - array with scores that are to be normalized

indexScores - first index in scores that is to be normalized

getMaxPerPixelError

public int getMaxPerPixelError()

Description copied from interface: BlockRowScore

Returns the maximum error each pixel in the region can contribute RuntimeException should be thrown.

Specified by:

getMaxPerPixelError in interface BlockRowScore<T extends ImageBase<T>,float[],float[]>

Returns:

Largest possible error for the region.