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.
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01057540
Contributor : Haythem Ghazouani
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Submitted on : Saturday, August 23, 2014 - 3:55:59 PM
Last modification on : Wednesday, April 17, 2019 - 1:14:48 AM
Long-term archiving on: Thursday, November 27, 2014 - 1:56:56 PM
