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Authors: Alvaro Arranz 1 ; Alvaro Sanchez-Miralles 1 ; Jaime Boal 1 ; Manuel Alvar 1 and Arturo de la Escalera 2

Affiliations: 1 ICAI School of Engineering, Spain ; 2 University Carlos III of Madrid, Spain

Keyword(s): Stereo Reconstruction, Genetic Algorithm.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: This paper proposes a genetic algorithm for solving the stereo correspondence problem. Applied to stereo, genetic algorithms are flexible in the cost function and permit global reasoning. The main contribution of this paper is a new crossover and a mutation operator which accounts for occlusion management and a new fitness function which considers occluded pixels and photometric derivatives. Both left and right disparity images are analysed in order to classify occluded pixels correctly. The proposed fitness function is compared to the traditional energy function based in the framework of the Markov Random Fields. The results show that a 32% bad-pixel error reduction can be achieved on average using the proposed fitness function. The results have been uploaded to the Middlebury ranking webpage, as the first evolutionary algorithm evaluated.

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Paper citation in several formats:
Arranz, A.; Sanchez-Miralles, A.; Boal, J.; Alvar, M. and de la Escalera, A. (2013). Genetic Algorithm for Stereo Correspondence with a Novel Fitness Function and Occlusion Handling. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 294-299. DOI: 10.5220/0004291202940299

@conference{visapp13,
author={Alvaro Arranz. and Alvaro Sanchez{-}Miralles. and Jaime Boal. and Manuel Alvar. and Arturo {de la Escalera}.},
title={Genetic Algorithm for Stereo Correspondence with a Novel Fitness Function and Occlusion Handling},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={294-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004291202940299},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Genetic Algorithm for Stereo Correspondence with a Novel Fitness Function and Occlusion Handling
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Arranz, A.
AU - Sanchez-Miralles, A.
AU - Boal, J.
AU - Alvar, M.
AU - de la Escalera, A.
PY - 2013
SP - 294
EP - 299
DO - 10.5220/0004291202940299
PB - SciTePress

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