Stereo analysis using individual evolution strategy

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

@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

Citations