Uses of Package
boofcv.alg.feature.disparity

Packages that use boofcv.alg.feature.disparity

Package	Description
boofcv.abst.feature.disparity
boofcv.alg.feature.disparity
boofcv.alg.feature.disparity.impl
boofcv.factory.feature.disparity

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

Class and Description
DisparityScoreRowFormat Base class for all dense stereo disparity score algorithms whose score's can be processed by DisparitySelect.
DisparitySparseScoreSadRect Computes disparity SAD scores using a rectangular region at the specified points only along the x-axis.
DisparitySparseSelect Computes the disparity given disparity score calculations provided by DisparitySparseScoreSadRect.

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

Class and Description
DisparityScoreRowFormat Base class for all dense stereo disparity score algorithms whose score's can be processed by DisparitySelect.
DisparitySelect Selects the best disparity given the set of scores calculated by DisparityScoreSadRect.
DisparitySparseSelect Computes the disparity given disparity score calculations provided by DisparitySparseScoreSadRect.

Classes in boofcv.alg.feature.disparity used by boofcv.alg.feature.disparity.impl

Class and Description
DisparityScoreRowFormat Base class for all dense stereo disparity score algorithms whose score's can be processed by DisparitySelect.
DisparityScoreSadRect Computes the disparity SAD score efficiently for a single rectangular region while minimizing CPU cache misses.
DisparityScoreWindowFive Scores the disparity for a point using multiple rectangular regions in an effort to reduce errors at object borders, based off te 5 region algorithm described in [1].
DisparitySelect Selects the best disparity given the set of scores calculated by DisparityScoreSadRect.
DisparitySparseScoreSadRect Computes disparity SAD scores using a rectangular region at the specified points only along the x-axis.
DisparitySparseSelect Computes the disparity given disparity score calculations provided by DisparitySparseScoreSadRect.
SelectRectBasicWta Selects the optimal disparity given a set of scores using a Winner Take All (WTA) strategy without any validation.
SelectRectStandard 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.feature.disparity used by boofcv.factory.feature.disparity

Class and Description
DisparityScoreSadRect Computes the disparity SAD score efficiently for a single rectangular region while minimizing CPU cache misses.
DisparityScoreWindowFive Scores the disparity for a point using multiple rectangular regions in an effort to reduce errors at object borders, based off te 5 region algorithm described in [1].
DisparitySelect Selects the best disparity given the set of scores calculated by DisparityScoreSadRect.
DisparitySparseScoreSadRect Computes disparity SAD scores using a rectangular region at the specified points only along the x-axis.
DisparitySparseSelect Computes the disparity given disparity score calculations provided by DisparitySparseScoreSadRect.