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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianbo Jiao Ronggang Wang Wenmin Wang Shengfu Dong Zhenyu Wang Wen Gao |
| Copyright Year | 1994 |
| Abstract | Recent local stereo matching methods have achieved comparable performance with global methods. However, the final disparity map still contains significant outliers. In this article, the authors propose a local stereo matching method that employs a new combined cost approach and a secondary disparity refinement mechanism. They formulate combined cost using a modified color census transform and truncated absolute differences of color and gradients. They also use symmetric guided filter for cost aggregation. Unlike in traditional stereo matching, they propose a novel secondary disparity refinement to further remove the remaining outliers. Experimental results on the Middlebury benchmark show that their method ranks fifth out of 153 submitted methods, and it's the best cost-volume filtering-based local method. Experiments on real-world sequences and depth-based applications also validate the proposed method's effectiveness. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 16 |
| Ending Page | 27 |
| Page Count | 12 |
| File Size | 7263617 |
| File Format | |
| ISSN | 1070986X |
| Volume Number | 21 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Stereo vision Transforms Radar Image edge detection Benchmark testing Research and development disparity refinement multimedia stereo matching matching cost |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Science Applications Software Hardware and Architecture Media Technology |
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