Experimental analysis of a number of stereo matching components using LMA
Charles V. Stewart, J.K. MacCrone · 2002
A stereo matching algorithm is described that combines new techniques with features of existing algorithms. The final version of the algorithm, called LMA (local matching algorithm), includes (1) a modified disparity gradient support computation that gathers support for each candidate match by examining other candidate matches in an adaptively sized window surrounding that match, (2) a new form of multiresolution that derives support for each match by searching adjacent resolution levels for candidate matches that have similar positions, orientations, and disparities, and (3) a new final consistency check called the area rule that tests each high-confidence match to ensure consistency with at least a minimum percentage of its neighboring high-confidence matches. The algorithm is built incrementally, and the effectiveness of each proposed component of the algorithm is demonstrated experimentally.>