Facial expression representation using a quadratic deformation model

Proceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009

Volumn , Issue , 2009, Pages 44-49

  Obaid, M ^a   Mukundan, R ^b   Billinghurst, M ^a   Sagar, M ^c  

^a HITLab NZ ^*

^b UNIVERSITY OF CANTERBURY   (New Zealand)

^c WETA DIGITAL   (New Zealand)

Author keywords

Facial expression representations; Quadratic deformation model; Rubber sheet transformations

Indexed keywords

DEFORMATION MODELS; DEFORMATION PARAMETER; FACIAL DEFORMATIONS; FACIAL EXPRESSIONS; FACIAL RECOGNITION; FACIAL REGIONS; LEAST SQUARES; MAP EXPRESSIONS; MUSCLE DEFORMATION; NONLINEAR NATURE; RUBBER SHEET;

COMPUTER GRAPHICS; DEFORMATION; MUSCLE; RUBBER; VISUALIZATION;

FACE RECOGNITION;

EID: 70549086771     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CGIV.2009.29     Document Type: Conference Paper

References (17)

1. V. C. Flores. ARTNATOMY (anatomical basis of facial expression interactive learning tool). In ACM SIGGRAPH 2006 Educators Program (Boston, Massachusetts, July 30-August 03, 2006).
2. Ekman P and Friesen W, "Manual for the Facial Action Coding System", Consulting Psychologist 1977, Press Palo Alto California.
3. DataFace: Psychology, Appearance, and Behavior of the Human Face. Retrieved June 6th, 2007, from: http://www.face-and-emotion.com.
4. I. Essa and A. Pentland. Coding, Analysis, Interpretation and Recognition of Facial Expression. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):757-763, 1997.
5. M.J. Black and Y. Yacoob, "Tracking and Recognizing Rigid and Nonrigid Facial Motions Using Local Parametric Models of Image Motion," Proc. Int"l Conf. Computer Vision, pp. 374-381, 1997.
6. B. Fasel and J. Luettin, "Automatic facial expression analysis: A survey," Pattern Recognition, vol.36, no.2, 2003, pp. 259-275.
7. I. S. Pandzic and R. Forchheimer, Eds. 2003 Mpeg-4 Facial Animation: the Standard, Implementation and Applications. John Wiley & Sons, Inc.
8. K. Matsumura, Y. Nakamura, and K. Matsui, "Mathematical Representation and Image Generation of Human Faces by Metamorphosis", Electronics and Comm. in Japan-3, vol.80, no.1, pp. 36-46, 1997.
9. M. Pantic and L.J.M. Rothkrantz, "Automatic Analysis of Facial Expressions: The State of the Art," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.22, no.12, pp. 1424-1445, Dec. 1996.
10. Shimizu, E. and Fuse, T. 2003. Rubber Sheeting of historical maps in GIS and its application to landscape visualization of old-time cities: focusing on Tokyo of the past. University of Tokyo. Proceedings of the 8th International Conference on Computers in Urban Planning and Urban Management, Reviewed Papers, CD-ROM, 2003. http://planner.t.utokyo.ac.jp/member/fuse/rubber-sheeting.pdf.
11. Wootton, R., Springall, D. R., Polak, J. M. (eds.) (1995). Image Analysis inHistology-Conventional and Confocal Microscopy. Cambridge UniversityPress, London.
12. Goerge Wolberg. Digital Image Warping. IEEE Computer Society Press, Los Alamitos, California, 1990.
13. Weisstein, Eric W. "Least Squares Fitting-Polynomial." From MathWorld-A Wolfram Web Resource. http://mathworld.wolfram.com/ LeastSquaresFittingPolynom ial.html.
14. Rafael C. Gonzalez, Richard E. Woods. Digital Image Processing. Third Edition, Prentice-Hall, 2007.
15. British Ordnance Survey. Features of transformations options. Retrieved on February 1st, 2009, from http://www.ordnancesurvey.co.uk/oswebsite/pai/pdfs/ transfo rmation-descriptions.pdf
16. Facial Action Coding System. Retrieved June 2007 from ftp://web.cs.wpi.edu/-matt/courses/cs563/talks/face-anim/ek man.html.
17. Ekman, P. & Friesen, W. V. (1975). Unmasking the face. A guide to recognizing emotions from facial clues. Englewood Cliffs, New Jersey: Prentice-Hall.