Paper
28 December 2000 Stereo matching method using modified genetic algorithm
Cun Xie, Jia-sheng Hu
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cun Xie and Jia-sheng Hu "Stereo matching method using modified genetic algorithm", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411586
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KEYWORDS
Genetic algorithms

Binary data

Genetics

Cameras

Feature extraction

3D image processing

3D modeling

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