Automatic Generation of Animation of Virtual Humans

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Ewa Lach",
  title =        "Automatic Generation of Animation of Virtual Humans",
  booktitle =    "VII International Conference on Artificial Inteligence
  year =         "2005",
  volume =       "2(25)",
  series =       "Proceedings of Artificial Intelligence Studies",
  pages =        "109--115",
  address =      "Siedlce, Poland",
  keywords =     "genetic algorithms, genetic programming",
  isbn_error =   "80-7051-360-3",
  broken =       "",
  abstract =     "The paper presents an application of genetic
                 programming (GP) to an evolution of behaviour of agents
                 situated in virtual environment. While synthetic
                 characters are currently widely used in games, films,
                 and various other applications, popular techniques such
                 as keyframing and motion capture are still relatively
                 expensive. True automation of the animation process of
                 secondary characters might be a solution to this
                 problem. In the paper an approach is presented, in
                 which automatically generated decision trees mange
                 behavior of virtual humans. New mutation operator,
                 which removes unused nodes from decision trees is

Genetic Programming entries for Ewa Lach