Interactive Evolution for Designing Motion Variants
Inhaltsverzeichnis
Reference
Jonathan Eisenmann, Matthew Lewis, Bryan Cline: Interactive Evolution for Designing Motion Variants. In: Madani, K., Correia, A.D., Rosa, A., Filipe, J. (eds.) Computational Intelligence. SCI, vol. 343, pp. 135–149. Springer, Heidelberg (2011)
DOI
http://link.springer.com/chapter/10.1007%2F978-3-642-20206-3_9
Abstract
We present an intuitive method for novice users to interactively design custom populations of stylized, heterogeneous motion, from one input motion. The user sets up lattice deformers which are used by a genetic algorithm to manipulate the animation channels of the input motion and create new motion variants. Our interactive evolutionary design environment allows the user to traverse the available space of possibilities, presents the user with populations of motion, and gradually converges to a satisfactory set of solutions. Each generated motion can undergo a filtering process subject to user-specified, high-level metrics to produce a result crafted to fit the designer’s interest. We demonstrate application to both character animation and particle systems.
Extended Abstract
Bibtex
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Links
Full Text
http://accad.osu.edu/Projects/Evo/motionVariants.pdf
