Stereo Matching Based On Election Campaign Algorithm
School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou China
a Qing Hua XIE: email@example.com
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.
Key words: Stereo Matching / Energy Function / Election Campaign Algorithm / Optimization
© Owned by the authors, published by EDP Sciences, 2016
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