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Content Provider | IEEE Xplore Digital Library |
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Author | Agrawal, M. Davis, L.S. |
Copyright Year | 2004 |
Description | Author affiliation: SRI Int., Menlo Park, CA, USA (Agrawal, M.) |
Abstract | Traditionally, the problem of stereo matching has been addressed either by a local window-based approach or a dense pixel-based approach using global optimization. In this paper we present an algorithm which combines window-based local matching into a global optimization framework. Our local matching algorithm assumes that local windows can have at most two disparities. Under this assumption, the local matching can be performed very efficiently using graph cuts. The global matching is formulated as minimization of an energy term that takes into account the matching constraints induced by the local stereo algorithm. Fast, approximate minimization of this energy is achieved through graph cuts. The key feature of our algorithm is that it preserves discontinuities both during the local as well as global matching phase. |
Sponsorship | IEEE Comput. Soc |
File Size | 347462 |
File Format | |
ISBN | 0769521584 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2004.1315015 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-06-27 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Stereo vision Layout Computer vision Interpolation Iterative algorithms Computer science Educational institutions Minimization methods Application software Light sources |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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