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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mattoccia, S. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electronics Computer Science and Systems (DEIS), Advanced Research Center on Electronic Systems (ARCES), University of Bologna, Viale Risorgimento 2, 40136, Italy (Mattoccia, S.) |
| Abstract | A novel approach to deal with the stereo correspondence problem induced by the implicit assumptions made by cost aggregation (CA) strategies is proposed. CA relies on the implicit assumption that disparity varies smoothly within neighboring points except at depth discontinuities and state-of-the-art CA strategies adapt their support to image content by classifying each pixel based on geometric and photometric constraints. Our proposal explicitly models this behavior from a different perspective, by gathering for each point, multiple assumptions that locally would be made by a hypothetical variable CA strategy. This framework enables to derive a function that locally captures the plausibility of the underlying geometric and photometric constraints independently enforced by supports of neighboring points. Experimental results confirm the effectiveness of our proposal. |
| Starting Page | 1763 |
| Ending Page | 1770 |
| File Size | 638243 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424444427 |
| DOI | 10.1109/ICCVW.2009.5457496 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-27 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Filters Conferences Layout Cost function Hardware Stereo vision Computational efficiency Proposals Photometry |
| Content Type | Text |
| Resource Type | Article |
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