- 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",
