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Genetic fuzzy stereo matching with new encoding scheme

Abstract : This paper presents a genetic stereo matching algorithm with fuzzy evaluation function. The proposed algorithm presents a new encoding scheme in which a chromosome is represented by a disparity matrix. Evolution is controlled by a fuzzy tness function able to deal with noise and uncertain camera measurements, and uses classical evolutionary operators. The result of the algorithm is accurate dense disparity maps obtained in a reasonable computational time suitable for realt-time applications.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01057540
Contributor : Haythem Ghazouani <>
Submitted on : Saturday, August 23, 2014 - 3:55:59 PM
Last modification on : Wednesday, April 17, 2019 - 1:14:48 AM
Document(s) archivé(s) le : Thursday, November 27, 2014 - 1:56:56 PM

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  • HAL Id : lirmm-01057540, version 1

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Haythem Ghazouani. Genetic fuzzy stereo matching with new encoding scheme. META: Metaheuristics and Nature Inspired Computing, Oct 2014, Marrakech, Morocco. pp.22-23. ⟨lirmm-01057540⟩

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