A Hybrid Genetic Approach For Stereo Matching
GECCO '13: Genetic and Evolutionary Computation Conference Amsterdam The Netherlands July, 2013(2013)
摘要
In this paper we present a genetic algorithm (GA)-based approach for the stereo matching problem. More precisely, the approach presented is a combination of a simple dynamic programming algorithm, commonly used for stereo matching, with a practical GA-based optimization scheme. The performance of our scheme was evaluated on standard test data of the Middlebury benchmark [1]. Specifically, the number of incorrect disparities on these data decreases by approximately 20% in comparison to the original approach (without the use of a GA).
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关键词
Computer Vision,Genetic Algorithm,Stereo Matching
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