Gustavo E. Boehs
Milton L. H. Vieira
ABSTRACT
We propose a framework for using human acting as input for the animation of non-humanoid creatures; captured motion is classified using machine learning techniques, and a combination of preexisting clips and motion retargeting are used to synthetize new motions. This should lead to a broader use of motion capture.
Supplemental Material
Available for Download
Supplemental files.
- Barbic, J., Safonova, A., Pan, J.-Y., Faloutsos, C., Hodgins, J. K. and Pollard, N. S. 2004. Segmenting motion capture data into distinct behaviors. In Proceedings of the Proceedings of Graphics Interface 2004, London, Ontario, Canada 2004 Canadian Human-Computer Communications Society, 1006081, 185--194. Google Scholar
Digital Library
- Kulpa, R., Multon, F. and Arnaldi, B. 2005. Morphology-independent representation of motions for interactive human-like animation. Computer Graphics Forum 24, 343--351.Google ScholarCross Ref
- Ming-Hsuan, Y. and Ahuja, N. 1999. Recognizing hand gesture using motion trajectories. In Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on., 1--472 Vol. 471.Google Scholar
Index Terms
- Non-humanoid creature performance from human acting
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