Uses of Package
boofcv.alg.disparity.block

Packages that use boofcv.alg.disparity.block

Package	Description
boofcv.abst.disparity
boofcv.alg.disparity.block
boofcv.alg.disparity.block.score
boofcv.alg.disparity.block.select
boofcv.alg.disparity.sgm.cost
boofcv.factory.disparity

Classes in boofcv.alg.disparity.block used by boofcv.abst.disparity

Class	Description
DisparitySparseSelect	Computes the disparity given disparity score calculations provided by DisparitySparseRectifiedScoreBM.

Classes in boofcv.alg.disparity.block used by boofcv.alg.disparity.block

Class	Description
BlockRowScore	Interface for computing disparity scores across an entire row
BlockRowScore.ArrayF32
BlockRowScore.ArrayS32
BlockRowScore.ArrayS32_BF32
BlockRowScore.ArrayS32_BS32
BlockRowScore.ArrayS32_BS64
BlockRowScoreCensus.CensusArrayS32_B32
BlockRowScoreSad.SadArrayF32
BlockRowScoreSad.SadArrayS32
DisparitySelect	Selects the best disparity given the set of scores calculated by DisparityBlockMatch.
DisparitySparseSelect	Computes the disparity given disparity score calculations provided by DisparitySparseRectifiedScoreBM.
SelectDisparityWithChecksWta.SaveScore
SparseScoreRectifiedCensus.Census	Applies a census transform to the input image and creates a new transformed image patch for later processing

Classes in boofcv.alg.disparity.block used by boofcv.alg.disparity.block.score

Class	Description
BlockRowScore	Interface for computing disparity scores across an entire row
DisparitySelect	Selects the best disparity given the set of scores calculated by DisparityBlockMatch.

Classes in boofcv.alg.disparity.block used by boofcv.alg.disparity.block.select

Class	Description
DisparitySelect	Selects the best disparity given the set of scores calculated by DisparityBlockMatch.
DisparitySparseSelect	Computes the disparity given disparity score calculations provided by DisparitySparseRectifiedScoreBM.
SelectDisparityBasicWta	Selects the optimal disparity given a set of scores using a Winner Take All (WTA) strategy without any validation.
SelectDisparityWithChecksWta	Selects the disparity with the smallest error, which is known as the winner takes all (WTA) strategy.
SelectSparseStandardWta	Selects the disparity the smallest error and optionally applies several different types of validation to remove false positives.

Classes in boofcv.alg.disparity.block used by boofcv.alg.disparity.sgm.cost

Class	Description
DisparitySelect	Selects the best disparity given the set of scores calculated by DisparityBlockMatch.

Classes in boofcv.alg.disparity.block used by boofcv.factory.disparity

Class	Description
BlockRowScore	Interface for computing disparity scores across an entire row
DisparitySelect	Selects the best disparity given the set of scores calculated by DisparityBlockMatch.
DisparitySparseSelect	Computes the disparity given disparity score calculations provided by DisparitySparseRectifiedScoreBM.