Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @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
Citations