- author = "Bogdan Stanciulescu and Jean Louchet",
- title = "Evolutionary Identification of Active Particle Systems",
- booktitle = "International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media, WSCG 2000",
- year = "2000",
- editor = "Nadia Magnenat Thalmann and Vaclav Skala",
- address = "Plzen, Czech Republic",
- month = "7-10 " # feb,
- organisation = "University of West Bohemia",
- keywords = "genetic algorithms, genetic programming, computer animation, computer graphics, physically based motion modelling, particle-based modelling, evolutionary strategies, motion analysis, neural networks, ANN, neural controllers",
-
URL = "
http://wscg.zcu.cz/wscg2000/Papers_2000/T43.ps.gz",
- size = "8 pages",
- abstract = "This paper presents how it is possible to introduce active motricity into particle-bond systems used in applications such as image animation. We chose to add into some neural network capabilities over the classical approach, in order to obtain a system able to model a larger class of behaviour. Therefore a new type of binary bond enriched with a neural-based command ability is proposed and tested in this paper. This active bond acts like a controlled muscle in order to produce motricity. An Evolutionary Strategy is used to optimise the particle-bond system parameters through evolving parameter sets. We tested our method both on artificially generated data and on data collected from real-life motion. Results and comparisons between our method and other approaches show the advantage of using active particle-bond systems for image animation applications.",
-
notes = "Horse muscles
http://wscg.zcu.cz/wscg2000/wscg2000.htm EUROGRAPHICS and IFIP WG 5.10
also known as \cite{DBLP:conf/wscg/StanciulescuL00}",
