DIFFERENTIAL GEOMETRY CONSTRAINTS FOR STEREO VISION AND FEATURE MATCHING
Zhou Ling-xian · Chinese Journal of Computers · 1997
Some probability distributions of differential geometry features are derived in this paper. Some stereo matching limits are then obtained by truncating the distributions with proper risks: disparity gradient limit (DGL), orientation limit (OL), and relative curvature limit (RCL). These shape similarity limits provide fairly strong constraints in correspondence. A two-step stereo matching algorithmbased on these limits is proposed. In the intensive matching step, the method uses relatively small, initial disparity related differential shape similarity limits for better candidate match searching. In the relaxation step, figural continuity is the only matching criterion. Both steps are implemented by voting schemes. Experimental results show that our algorithm is robust and efficient.