Title: Evolutionary Identification of Active Particle Systems
Authors: Stanciulescu, Bogdan
Louchet, Jean
Citation: WSCG '2000: Conference proceeding: The 8th International Conference in Central Europe on Computers Graphics, Visualization and Interaktive Digital Media '2000 in cooperation with EUROGRAPHICS and IFIP WG 5.10: University of West Bohemia, Plzen, Czech republic, February 7 - 10, 2000, p. 92-99.
Issue Date: 2000
Publisher: University of West Bohemia
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2000/Papers_2000/T43.ps.gz
ISBN: 80-7082-612-6
Keywords: počítačová animace;počítačová grafika;počítačové modelování;evoluční strategie;analýza pohybu;neuronové sítě
Keywords in different language: computer animation;computer graphics;computer modelling;evolutionary strategies;motion analysis;neural networks
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.
Rights: © University of West Bohemia
Appears in Collections:WSCG '2000: Conference proceeding

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/15433

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