Binocular Stereo Matching Based on Breadth-First Disparity Optimization
Binocular stereo matching is the most important part of 3D reconstruction. The quality of the reconstruction is greatly influenced by the disparity map. Based on the raw local methods, proposes a breadth-first optimization algorithm for the post processing of disparity. Adds parallax optimization process after the consistency checking , combined with the binocular stereo matching algorithm of local characteris-tics. With the local stereo matching, the result shows the increased accuracy.
Binocular Stereo MatchingDisparity OptimizationBreadth First Search
NETL
NSTL
万方数据
维普
