L'algorithme des mouches : une strategie d'evolution individuelle appliquee en stereovision

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Louchet:2000:RFIA,

• author = "J. Louchet",
• title = "L'algorithme des mouches : une strategie d'evolution individuelle appliquee en stereovision",
• title_en = "The Fly Algorithm: an Individual Evolutionary Strategy applied to Stereovision",
• booktitle = "RFIA 2000, Reconnaissance des Formes et Intelligence Artificielle",
• year = "2000",
• month = feb,
• keywords = "genetic algorithms, genetic programming, Parisian GP, 3D vision, Algorithmes genetiques, strategies d'evolution, approche individuelle, vision robotique, detectiond'obstacles",
• URL = "http://jean.louchet.free.fr/publis/rfia14t.pdf",
• size = "11 pages",
• abstract = "This paper presents an Individual Evolutionary Strategy devised for fast image analysis applications. The example problem chosen is obstacle detection using a pair of cameras. The algorithm evolves a population of three-dimensional points (flies) in the cameras fields of view, using a low complexity fitness function giving highest values to flies likely to be on the surfaces of 3-D obstacles. The algorithm uses classical sharing, mutation and crossover operators. The final result is a fraction of the population rather than a single individual. Some test results are presented and potential extensions to real-time image sequence processing,mobile objects tracking and mobile robotics are discussed.",
• resume = "Cet article presente l'application d'une strategied'evolution individuelle (variante d'algorithme genetique) a la resolution rapide approchee de certains problemes d'analyse de scenes. L'exemple choisi est la detection d'obstacles par stereovision. La population est un ensemble de points (mouches) dans le champdes cameras. La fonction de performance favorise les mouches situees sur les surfaces apparentes des objets. L'algorithme uses des operateurs classiques de partage, mutation et croisement. Le resultat est un ensemble de points de la population, representant les surfaces des objets. Des resultats experiment aux sont presentes ainsi que les extensions en cours a la vision d'un robot mobile et au suivi d'objets en deplacement.",
• notes = "In French",

}

Genetic Programming entries for Jean Louchet

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