Stereo matching method using modified genetic algorithm
Cun Xie, Jiasheng Hu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Stereo matching is the key problem of depth information measure using the disparity in stereo vision. In this paper, a new stereo matching algorithm, combining both the modified genetic algorithm and the classic feature matching technique, is presented. The chromosome construction and the fitness function for stereo matching are proposed. According to the corresponding constraint of stereo matching, genetic algorithm is applied to this problem. Finally, the experiment using the proposed method is given, and the experiment results show that the proposed algorithm is more applicable and stable.