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Combining 3D Scans and Motion Capture for Realistic Facial Animation

MPG-Autoren
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Breidt,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84298

Wallraven,  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;

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Cunningham,  DW
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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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;

Externe Ressourcen

https://diglib.eg.org/bitstream/handle/10.2312/egp20031009/breidt.pdf?sequence=1&isAllowed=y
(Verlagsversion)

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Zitation

Breidt, M., Wallraven, C., Cunningham, D., & Bülthoff, H. (2003). Combining 3D Scans and Motion Capture for Realistic Facial Animation. In J. Flores, & P. Cano (Eds.), Eurographics 2003: Modelling the Real World (pp. 63-66). Aire-la-Ville, Switzerland: Eurographics Association.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-DBAF-4
Zusammenfassung
We present ongoing work on the development of new methods for highly realistic facial animation. One of the main
contributions is the use of real-world, high-precision data for both the timing of the animation and the deformation
of the face geometry. For animation, a set of morph shapes acquired through a 3D scanner is linearly morphed
according to timing extracted from point tracking data recorded with an optical motion capture system.