Building new tools for synthetic image animation using evolutionary techniques

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

@InProceedings{Louchet:1995:BNT,
  author =       "Jean Louchet and Michael Boccara and 
                 David Crochemore and Xavier Provot",
  title =        "Building new tools for synthetic image animation using
                 evolutionary techniques",
  booktitle =    "Artificial Evolution AE'95",
  year =         "1995",
  editor =       "Jean-Marc Alliot and Evelyne Lutton and 
                 Edmund Ronald and Marc Schoenauer and Dominique Snyers",
  volume =       "1063",
  series =       "LNCS",
  pages =        "273--286",
  address =      "Brest, France",
  month =        "4-6 " # sep,
  publisher =    "Springer Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-61108-8",
  doi =          "doi:10.1007/3-540-61108-8_44",
  size =         "14 pages",
  abstract =     "Particle-based models and articulated models are
                 increasingly used in synthetic image animation
                 applications. This paper aims at showing examples of
                 how Evolutionary Algorithms can be used as tools to
                 build realistic physical models for image
                 animation.

                 First, a method to detect regions with rigid 2D motion
                 in image sequences, without solving explicitly the
                 Optical Flow equation, is presented. It is based on the
                 resolution of an equation involving rotation
                 descriptors and first-order image derivatives. An
                 evolutionary technique is used to obtain a raw
                 segmentation based on motion; the result of
                 segmentation is then refined by an accumulation
                 technique in order to determine more accurate rotation
                 centres and deduce articulation points.

                 Second, an evolutionary algorithm designed to identify
                 internal parameters of a mass spring animation model
                 from kinematic data (Physics from Motion) is presented
                 through its application to cloth animation modelling.",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  affiliation =  "ENSTA Laboratoire d'Electronique et d'Informatique 32
                 boulevard Victor 75739 Paris cedex 15 France",
}

Genetic Programming entries for Jean Louchet Michael Boccara David Crochemore Xavier Provot