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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Zhao Katupitiya, J. |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Mech. & Manufacturing Eng., New South Wales Univ., Sydney, NSW (Jun Zhao; Katupitiya, J.) |
| Abstract | The key issue of stereo vision algorithm using dynamic programming approach is to establish the cost function. Normally the cost of a match is the matching difference or matching error. This is almost the same for different algorithms in this approach. The only difference is in the cost of occlusion. Actually the cost of a known occluded point should be zero, because it is a good match. The difficulty is how to find the occluded region. In this paper, we present a new algorithm in which we first find the occluded region in the image using correlation approach. Then we establish a cost function in which the cost of the occluded region is set to zero. Then we use dynamic programming approach to minimize the energy of this cost function. Experimental results show that this algorithm can achieve excellent results with acceptable time efficiency |
| Starting Page | 5315 |
| Ending Page | 5320 |
| File Size | 640175 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424402581 |
| DOI | 10.1109/IROS.2006.282034 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dynamic programming Stereo vision Cost function Intelligent robots Manufacturing Australia Heuristic algorithms Robot vision systems Navigation Pixel stereo vision Occlusion dynamic programming correlation |
| Content Type | Text |
| Resource Type | Article |
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