Package boofcv.alg.disparity.block

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

All Known Implementing Classes:

BlockRowScore.ArrayF32, BlockRowScore.ArrayS32, BlockRowScore.ArrayS32_BF32, BlockRowScore.ArrayS32_BS32, BlockRowScore.ArrayS32_BS64, BlockRowScoreCensus.CensusArrayS32_B32, BlockRowScoreCensus.S32, BlockRowScoreCensus.S64, BlockRowScoreCensus.U8, BlockRowScoreMutualInformation.U8, BlockRowScoreNcc.F32, BlockRowScoreSad.F32, BlockRowScoreSad.S16, BlockRowScoreSad.SadArrayF32, BlockRowScoreSad.SadArrayS32, BlockRowScoreSad.U16, BlockRowScoreSad.U8

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

Interface for computing disparity scores across an entire row

MUST BE THREAD SAFE

Nested Class Summary

Nested Classes

Modifier and Type	Interface	Description
static class	BlockRowScore.ArrayF32<T extends ImageBase<T>>
static class	BlockRowScore.ArrayS32<T extends ImageBase<T>,ImageData>
static class	BlockRowScore.ArrayS32_BF32
static class	BlockRowScore.ArrayS32_BS32<T extends GrayI<T>,ImageData>
static class	BlockRowScore.ArrayS32_BS64

Method Summary

Modifier and Type	Method	Description
ImageType<T>	getImageType()
int	getMaxPerPixelError()	Returns the maximum error each pixel in the region can contribute RuntimeException should be thrown.
boolean	isRequireNormalize()	If true then the score needs to be normalized
void	normalizeRegionScores(int row, ScoreArray scores, int disparityMin, int disparityMax, int regionWidth, int regionHeight, ScoreArray 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, ScoreArray scores, int indexScores, ScoreArray scoresNorm)	Applies normalization to a single row
void	score(ImageData leftRow, ImageData rightRow, int indexLeft, int indexRight, int offset, int length, ScoreArray elementScore)
void	scoreRow(int row, ImageData leftRow, ImageData rightRow, ScoreArray scores, int disparityMin, int disparityMax, int regionWidth, ScoreArray elementScore)	For a given disparity, the score for each region on the left share many components in common.
void	setBorder(ImageBorder<T> border)
void	setInput(T left, T right)	Specifies the input images

Method Details

setBorder

void setBorder(ImageBorder<T> border)

setInput

void setInput(T left,
 T right)

Specifies the input images

Parameters:

left - left image

right - right image

scoreRow

void scoreRow(int row,
 ImageData leftRow,
 ImageData rightRow,
 ScoreArray scores,
 int disparityMin,
 int disparityMax,
 int regionWidth,
 ScoreArray elementScore)

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

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

score

void score(ImageData leftRow,
 ImageData rightRow,
 int indexLeft,
 int indexRight,
 int offset,
 int length,
 ScoreArray elementScore)

getMaxPerPixelError

int getMaxPerPixelError()

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

Returns:

Largest possible error for the region.

isRequireNormalize

boolean isRequireNormalize()

If true then the score needs to be normalized

normalizeRegionScores

void normalizeRegionScores(int row,
 ScoreArray scores,
 int disparityMin,
 int disparityMax,
 int regionWidth,
 int regionHeight,
 ScoreArray scoresNorm)

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

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

void normalizeScore(int row,
 int colLeft,
 int colRight,
 int numCols,
 int regionWidth,
 int regionHeight,
 ScoreArray scores,
 int indexScores,
 ScoreArray scoresNorm)

Applies normalization to a single row

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

getImageType

ImageType<T> getImageType()