Stereo analysis using individual evolution strategy

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{louchet:2000:ICPR,
  author =       "Jean Louchet",
  title =        "Stereo analysis using individual evolution strategy",
  booktitle =    "15th International conference on pattern recognition",
  year =         "2000",
  volume =       "1",
  pages =        "908--911",
  address =      "Barcelona",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICPR.2000.905580",
  abstract =     "This paper presents an individual evolutionary
                 strategy devised for 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 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 and mobile robotics are discussed.",
}

Genetic Programming entries for Jean Louchet

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