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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Wang Caiming Zhang Xia Hu Weitao Li |
| Copyright Year | 2010 |
| Abstract | Recently, local stereo matching has experienced largeprogress by the introduction of adaptive support-weights. Inthis paper, we aim at eliminating negative effects of occlusionsby proposing an occlusion-based method to improvetraditional support weights. Weights of occluded points aregreatly reduced while computing matching costs, initial disparitiesand final disparities. Experimental results on the Middlebury images demonstratethat our method is very effective in improving disparitiesof points around occluded areas and depth discontinuities.According to the Middlebury benchmark, theproposed algorithm is now the top performer among localstereo methods. Moreover, this approach can be easily integratedinto nearly all existing support weights strategies. |
| Starting Page | 476 |
| Ending Page | 481 |
| File Size | 2277037 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424483105 |
| e-ISBN | 9781424483112 |
| DOI | 10.1109/AVSS.2010.37 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image color analysis Noise Euclidean distance Stereo vision Reliability Pixel |
| Content Type | Text |
| Resource Type | Article |
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