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  Semantic 3D motion retargeting for facial animation

Curio, C., Breidt, M., Kleiner, M., Vuong, Q., Giese, M., & Bülthoff, H. (2006). Semantic 3D motion retargeting for facial animation. In R. Fleming, & S. Kim (Eds.), APGV '06: 3rd Symposium on Applied Perception in Graphics and Visualization (pp. 77-84). New York, NY, USA: ACM Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D0F7-B Version Permalink: http://hdl.handle.net/21.11116/0000-0004-9A5F-5
Genre: Conference Paper

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 Creators:
Curio, C1, 2, 3, Author              
Breidt, M1, 2, 3, Author              
Kleiner, M1, 2, 3, Author              
Vuong, QC1, 2, Author              
Giese, MA, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Project group: Cognitive Engineering, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528702              

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 Abstract: We present a system for realistic facial animation that decomposes facial Motion Capture data into semantically meaningful motion channels based on the Facial Action Coding System. A captured performance is retargeted onto a morphable 3D face model based on a semantically corresponding set of 3D scans. The resulting facial animation reveals a high level of realism by combining the high spatial resolution of a 3D scanner with the high temporal accuracy of motion capture data that accounts for subtle facial movements with sparse measurements. Such an animation system allows us to systematically investigate human perception of moving faces. It offers control over many aspects of the appearance of a dynamic face, while utilizing as much measured data as possible to avoid artistic biases. Using our animation system, we report results of an experiment that investigates the perceived naturalness of facial motion in a preference task. For expressions with small amounts of headmotion, we find a benefit for our part-based generative animation system that is capable of local animation over an example-based approach that deforms the whole face at once.

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 Dates: 2006-07
 Publication Status: Published in print
 Pages: -
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 Identifiers: DOI: 10.1145/1140491.1140508
BibTex Citekey: 3992
 Degree: -

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Title: 3rd Symposium on Applied Perception in Graphics and Visualization (APGV 2006)
Place of Event: Boston, MA, USA
Start-/End Date: 2006-07-28 - 2006-07-29

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Title: APGV '06: 3rd Symposium on Applied Perception in Graphics and Visualization
Source Genre: Proceedings
 Creator(s):
Fleming, RW1, 2, Editor            
Kim, S, Editor
Affiliations:
1 Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797            
2 Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794            
Publ. Info: New York, NY, USA : ACM Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 77 - 84 Identifier: ISBN: 1-59593-429-4