Genetic fuzzy stereo matching with new encoding scheme

Haythem Ghazouani 1
1 EXPLORE - Robotique mobile pour l'exploration de l'environnement
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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.
Type de document :
Communication dans un congrès
META: Metaheuristics and Nature Inspired Computing, Oct 2014, Marrakech, Morocco. 5th International Conference on Metaheuristics and Nature Inspired Computing, pp.22-23, 2014, 〈http://meta2014.sciencesconf.org/〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01057540
Contributeur : Haythem Ghazouani <>
Soumis le : samedi 23 août 2014 - 15:55:59
Dernière modification le : jeudi 24 mai 2018 - 15:59:23
Document(s) archivé(s) le : jeudi 27 novembre 2014 - 13:56:56

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Haythem Ghazouani. Genetic fuzzy stereo matching with new encoding scheme. META: Metaheuristics and Nature Inspired Computing, Oct 2014, Marrakech, Morocco. 5th International Conference on Metaheuristics and Nature Inspired Computing, pp.22-23, 2014, 〈http://meta2014.sciencesconf.org/〉. 〈lirmm-01057540〉

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