Redundancy reduction in 3D facial motion capture data for animation

Wellein, DI; Curio, C; Bülthoff, HH

doi:10.1145/1272582.1272613

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Redundancy reduction in 3D facial motion capture data for animation

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Wellein, DI
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Curio, C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff, HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Wellein, D., Curio, C., & Bülthoff, H. (2007). Redundancy reduction in 3D facial motion capture data for animation. Poster presented at 4th Symposium on Applied Perception in Graphics and Visualization (APGV 2007), Tübingen, Germany.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CD0F-E

Abstract

Research on the perception of dynamic faces often requires real-time animations with low latency. With an adaptation of principal feature analysis [Cohen et al. 2002], we can reduce the number of facial motion capture markers by 50, while retaining the overall animation quality.