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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chao Liang Liang Wang Hongyun Liu |
| Copyright Year | 2011 |
| Description | Author affiliation: College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China, 100124 (Chao Liang; Liang Wang; Hongyun Liu) |
| Abstract | This paper proposes a new global based approach for stereo matching with occlusion handling. We first use a global method based on the energy function to get the initial disparity, in order to get the accurate result, we use cross-based region as data term, and a hierarchical belief propagation strategy is used to smooth the disparity map. To improve performance we introduce the stability factor to determine the smoothness of disparities. For occlusion handling, the main ideal is using segment based strategy to deal with occlusion pixels. Finally, the algorithm is evaluated on the Middlebury data sets, Experimental results shows that the proposed method is competitive with the state of the art. |
| Starting Page | 1999 |
| Ending Page | 2003 |
| File Size | 374062 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424481132 |
| ISSN | 21527431 |
| e-ISBN | 9781424481156 |
| DOI | 10.1109/ICMA.2011.5986233 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stereo vision Belief propagation Algorithm design and analysis Classification algorithms Real time systems Computational efficiency Image segmentation occlusion handling stereo vision adaptive window belief propagation |
| Content Type | Text |
| Resource Type | Article |
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