Evolving Physical Models to Understand Motion in Image Sequences

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Bogdan Stanciulescu and Jean Louchet",
  title =        "Evolving Physical Models to Understand Motion in Image
  booktitle =    "European symposium on intelligent techniques
  year =         "2000",
  pages =        "239--245",
  address =      "Aachen, Germany",
  month =        "14-15 " # sep,
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 strategies, particle systems, image animation, neural
                 networks, physical modelling, pattern recognition",
  URL =          "http://www.erudit.de/erudit/events/esit2000/proceedings/BA-01-2-P.pdf",
  URL =          "http://jean.louchet.free.fr/publis/BS2000.pdf",
  size =         "7 pages",
  abstract =     "A new method to identify internal parameters of a
                 mass-spring deformable object model from kinematic data
                 is presented. It uses an evolutionary model
                 identification algorithm, with several original
                 features concerning convergence and adaptivity.
                 Experimental results are presented.",

Genetic Programming entries for Bogdan Stanciulescu Jean Louchet