ACM Home Page
Please provide us with feedback. Feedback
Performance driven face animation via non-rigid 3d tracking
Full text PdfPdf (2.89 MB)
Source
International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents
Beijing, China
DEMONSTRATION SESSION: Technical demonstrations session 2 table of contents
Pages 1027-1028  
Year of Publication: 2009
ISBN:978-1-60558-608-3
Authors
Wei Zhang  The Chinese University of Hong Kong, Hong Kong
Qiang Wang  Microsoft Research Asia, Beijing, China
Xiaoou Tang  The Chinese University of Hong Kong, Hong Kong
Sponsor
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 26,   Downloads (12 Months): 26,   Citation Count: 0
Additional Information:

abstract   references   index terms  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1631272.1631502
What is a DOI?

ABSTRACT

In this demo, a performance driven 3D face animation system is proposed. The proposed system consists of two key components: a robust non-rigid 3D tracking module and a MPEG4 compliant facial animation module. Firstly, the facial motion is tracked from source videos which contain both the rigid 3D head motion (6 DOF) and the non-rigid expression variations. Afterward, the tracked facial motion is parameterized via estimating a set of MPEG4 facial animation parameters(FAP). As the final step, these FAP values are transferred to the MPEG4-compliant face model for the animation purpose. The proposed tracking and animation system has a strong generalization ability and can be used in the indoor environment with no additional assumptions.


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
J. Chai, J. Xiao, and J. Hodgins. Vision-based control of 3d facial animation. In Symposium on Computer Animation, 2003.
 
2
E. Chuang and C. Bregler. Performance driven facial animation using blendshape interpolation. Computer Science Technical Report, Stanford University, 2002.
 
3
Q. P. Ekaterina, E. Kostina, and O. Kostyukova. A primal-dual active-set method for convex, 2003.
 
4
P. Joshi, W. Tien, M. Desbrun, and F. Pighin. Learning controls for blend shape based realistic facial animation. In SIGGRAPH Courses, 2005.
 
5
F. Parke. Computer generated animation of faces. In Proceedings of ACM annual conference, 1972.
 
6
W. Zhang, Q. Wang, and X. Tang. Real Time Feature Based 3-D Deformable Face Tracking. European Conference on Computer Vision, 2008.