Package boofcv.factory.disparity
package boofcv.factory.disparity
-
ClassDescriptionList of block matching approaches available for use in SGM.Generic configuration for any dense stereo disparity algorithm.List of avaliable approachesConfiguration for the basic block matching stereo algorithm that employs a greedy winner takes all strategy.A block matching algorithm which improved performance along edges by finding the score for 9 regions but only selecting the 5 best.Configurations for different types of disparity error metricsConfiguration for CensusConfiguration for Hierarchical Mutual Information.Normalized cross correlation errorConfiguration for
Semi Global MatchingAllowed number of pathsDifferent disparity error functions that are available.Different types of error which can be applied to SGMCreates high level interfaces for computing the disparity between two rectified stereo images.Algorithms related to computing the disparity between two rectified stereo images.