stereo matching based on election campaign algorithm
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ID: 128559
2016
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Abstract
Stereo matching is one of the significant problems in the study of the computer vision. By getting the distance information through pixels, it is possible to reproduce a three-dimensional stereo. In this paper, the edges are the primitives for matching, the grey values of the edges and the magnitude and direction of the edge gradient were figured out as the properties of the edge feature points, according to the constraints for stereo matching, the energy function was built for finding the route minimizing by election campaign optimization algorithm during the process of stereo matching was applied to this problem the energy function. Experiment results show that this algorithm is more stable and it can get the matching result with better accuracy.
| Reference Key |
hua2016matecstereo
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|---|---|
| Authors | ;Xie Qing Hua;Zhang Xiang Wei;Lv Wen Ge;Cheng Si Yuan |
| Journal | acta botânica brasílica |
| Year | 2016 |
| DOI |
10.1051/matecconf/20166301031
|
| URL | |
| Keywords | Keywords not found |
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