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

  • Authors:
  • Jean Louchet;Maud Guyon;Marie-Jeanne Lesot;Amine Boumaza

  • Affiliations:
  • Lab. d'Electronique et Informatique, Ecole Nationale Supérieure de Techniques Avancées, 32 Boulevard Victor, 75739 Paris Cedex 15, France and INRIA Rocquencourt, BP75, 78153 Le Chesnay C ...;Lab. d'Electronique et Informatique, Ecole Nationale Supérieure de Techniques Avancées, 32 Boulevard Victor, 75739 Paris Cedex 15, France;Lab. d'Electronique et Informatique, Ecole Nationale Supérieure de Techniques Avancées, 32 Boulevard Victor, 75739 Paris Cedex 15, France;INRIA Rocquencourt, BP75, 78153 Le Chesnay Cedex, France

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2002

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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.