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Proceedings Paper

Stereo matching method using modified genetic algorithm
Author(s): Cun Xie; Jia-sheng Hu
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Paper Abstract

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.

Paper Details

Date Published: 28 December 2000
PDF: 8 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411586
Show Author Affiliations
Cun Xie, Dalian Univ. of Technology (China)
Jia-sheng Hu, Dalian Univ. of Technology (China)

Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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