Using an Individual Evolution Strategy for Stereovision

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

@Article{louchet:2001:GPEM,
  author =       "Jean Louchet",
  title =        "Using an Individual Evolution Strategy for
                 Stereovision",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2001",
  volume =       "2",
  number =       "2",
  pages =        "101--109",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, artificial
                 evolution, individual evolution strategy, flies,
                 computer vision, image processing, stereovision,
                 software engineering",
  ISSN =         "1389-2576",
  broken =       "http://ipsapp009.lwwonline.com/content/getfile/4723/5/2/fulltext.pdf",
  doi =          "doi:10.1023/A:1011544128842",
  abstract =     "The fly algorithm is an individual evolution strategy
                 developed for parameter space exploration in computer
                 vision applications. In the application described, each
                 individual represents a geometrical point in the scene
                 and the population itself is used as a
                 three-dimensional model of the scene. A fitness
                 function containing all pixel-level calculations is
                 introduced to exploit simple optical and geometrical
                 properties and evaluate the relevance of each
                 individual as taking part to the scene representation.
                 Classical evolutionary operators (sharing, mutation,
                 crossover) are used. The combined individual approach
                 and low complexity fitness function allow fast
                 processing. Test results and extensions to real-time
                 image sequence processing, mobile objects tracking and
                 mobile robotics are presented.",
  notes =        "Article ID: 335709",
}

Genetic Programming entries for Jean Louchet