Dynamic flies: a new pattern recognition tool applied to stereo sequence processing

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@Article{louchet:2002:ECAeng,
  author =       "Jean Louchet and Maud Guyon and Marie-Jeanne Lesot and 
                 Amine Boumaza",
  title =        "Dynamic flies: a new pattern recognition tool applied
                 to stereo sequence processing",
  journal =      "Pattern Recognition Letters",
  year =         "2002",
  volume =       "23",
  number =       "1-3",
  pages =        "335--345",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, Artificial
                 evolution, Pattern recognition, Computer vision, Image
                 processing, Parameter space exploration",
  doi =          "doi:10.1016/S0167-8655(01)00129-5",
  abstract =     "The {"}fly algorithm{"} is a fast artificial
                 evolution-based technique devised for the exploration
                 of parameter space in pattern recognition applications.
                 In the application described, we evolve a population
                 which constitutes a particle-based three-dimensional
                 representation of the scene. Each individual represents
                 a three-dimensional point in the scene and may be
                 fitted with optional velocity parameters. Evolution is
                 controlled by a fitness function which contains all
                 pixel-level calculations, and uses classical
                 evolutionary operators (sharing, mutation, crossover).
                 The combined individual approach and low complexity
                 fitness function allow fast processing. Test results
                 and an application to mobile robotics are presented.",
  notes =        "Francais voir \cite{louchet:2002:ECA}",
}

Genetic Programming entries for Jean Louchet Maud Guyon Marie-Jeanne Lesot Amine M Boumaza