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Redundancy reduction in 3D facial motion capture data for animation
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Applied Perception in Graphics and Visualization; Vol. 253 archive
Proceedings of the 4th symposium on Applied perception in graphics and visualization table of contents
Tubingen, Germany
POSTER SESSION: Posters table of contents
Pages: 136 - 136  
Year of Publication: 2007
ISBN:978-1-59593-670-7
Authors
Daniela I. Wellein  Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Cristóbal Curio  Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Heinrich H. Bülthoff  Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Cohen, I., Tian, Q., Zhou, X., and Huang, T. 2002. Feature selection using principal feature analysis. Univ. of Illinois at Urbana-Champaign 2002.
2
Cristóbal Curio , Martin Breidt , Mario Kleiner , Quoc C. Vuong , Martin A. Giese , Heinrich H. Bülthoff, Semantic 3D motion retargeting for facial animation, Proceedings of the 3rd symposium on Applied perception in graphics and visualization, July 28-29, 2006, Boston, Massachusetts  [doi>10.1145/1140491.1140508]
Collaborative Colleagues:
Daniela I. Wellein: colleagues
Cristóbal Curio: colleagues
Heinrich H. Bülthoff: colleagues

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