Affiliation:
1. CAS
2. University of Chinese Academy of Sciences
Abstract
Stereo matching has been the focus of computer vision research. Some current researches on stereo matching algorithms were summarized, the stereo matching key techniques were analyzed; View of the current major challenges on binocular stereo matching, elaborated matching algorithm possible solutions and modification approaches; Finally, the field of technology development are prospected.
Publisher
Trans Tech Publications, Ltd.
Reference19 articles.
1. H. Ishikawa and D. Geiger Occlusions, discontinuities, and epipolar lines in stereo. In Europer conference on computer vision[C] 1998, pages 232–248, (1998).
2. Boykov Y, Kolmogorov V. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision [J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2004, 26(9): 1124-37.
3. BoykovY, Veksler O, Zabih R. Markov random fields with efficient approximations, F, 1998 [C]. IEEE. 107F 4-7 Jan 1998, 1998 [C].
4. Birchfield S, Tomasi C. Multiway cut for stereo and motion with slanted surfaces, F, 1999 [C]. Published by the IEEE Computer Society.
5. Belhumeur P N. A Bayesian approach to binocular steropsis [J]. Int J Comput Vision, 1996, 19(3): 237-60.