We present a new, efficient stereo algorithm addressing robust disparity estimation in the presence of occlusions. The algorithm uses multiple windows and left-right consistency to compute disparity and its associated uncertainty. We demonstrate and discuss performances with both synthetic and real stereo pairs, and show how our results improve on those of closely related techniques for both robustness and efficiency.
CITATION STYLE
Fusiello, A., Roberto, V., & Trucco, E. (1997). Experiments with a new area-based stereo algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1310, pp. 669–676). Springer Verlag. https://doi.org/10.1007/3-540-63507-6_259
Mendeley helps you to discover research relevant for your work.