Facial expression recognition with 3D deformable models

Proceedings of the 2nd International Conferences on Advances in Computer-Human Interactions, ACHI 2009

Volumn , Issue , 2009, Pages 26-31

  Mayer, Christoph ^a   Wimmer, Matthias ^a   Eggers, Martin ^a   Radig, Bernd ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

GESTURE RECOGNITION; INTERACTIVE COMPUTER SYSTEMS; THREE DIMENSIONAL;

CURRENT IMAGES; DATA BASE; DEFORMABLE MODELS; EXPERIMENTAL EVALUATIONS; FACE MODELS; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; HUMAN FACES; MODEL PARAMETERS; MODEL-BASED; RECOGNITION RATES; UNIVERSAL FACIAL EXPRESSIONS; VISUAL IMAGES;

FACE RECOGNITION;

EID: 63749106165     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACHI.2009.33     Document Type: Conference Paper

References (26)

1. J. Ahlberg. Candide-3 - an updated parameterized face. Technical Report LiTH-ISY-R-2326, Linkoping University, Sweden, 2001.
2. V. Blanz, K. Scherbaum, and H. Seidel. Fitting a morphable model to 3d scans of faces. In Proceedings of International Conference on Computer Vision, 2007.
3. J. Cohn, A. Zlochower, J.-J. J. Lien, and T. Kanade. Feature-point tracking by optical flow discriminates subtle differences in facial expression. In Proceedings of the 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pages 396 - 401, April 1998.
4. th European Conference on Computer Vision, volume 2, pages 484-498, Freiburg, Germany, 1998. Springer-Verlag.
5. rd British Machine Vision Conference, pages 266 - 275. Springer Verlag, 1992.
6. P. Ekman. Universals and cultural differences in facial expressions of emotion. In J. Cole, editor, Nebraska Symposium on Motivation 1971, volume 19, pages 207-283, Lincoln, NE, 1972. University of Nebraska Press.
7. P. Ekman. Facial expressions. In T. Dalgleish and M. Power, editors, Handbook of Cognition and Emotion, New York, 1999. John Wiley & Sons Ltd.
8. P. Ekman and W. Friesen. The Facial Action Coding System: A Technique for The Measurement of Facial Movement. Consulting Psychologists Press, San Francisco, 1978.
9. W. V. Friesen and P. Ekman. Emotional Facial Action Coding System. Unpublished manuscript, University of California at San Francisco, 1983.
10. S. B. Gokturk, J.-Y. Bouguet, C. Tomasi, and B. Girod. Model-based face tracking for view-independent facial expression recognition. Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 02), 2002.
11. C. S. Ikehara, D. N. Chin, and M. E. Crosby. A model for integrating an adaptive information filter utilizing biosensor data to assess cognitive load. In User Modeling, volume 2702/2003, pages 208-212. Springer Berlin / Heidelberg, 2003.
12. T. Kanade, J. F. Cohn, and Y. Tian. Comprehensive database for facial expression analysis. In International Conference on Automatic Face and Gesture Recognition, pages 46-53, France, March 2000.
13. I. Kotsia and I. Pitaa. Facial expression recognition in image sequences using geometric deformation features and support vector machines. IEEE Transaction On Image Processing, 16(1), 2007.
14. F. D. la Torre Frade, J. Campoy, Z. Ambadar, and J. Cohn. Temporal Segmentation of Facial Behavior. In International Conference on Computer Vision, 2007.
15. C. L. Lisetti and D. J. Schiano. Automatic facial expression interpretation: Where human interaction, articial intelligence and cognitive science intersect. Pragmatics and Cognition, Special Issue on Facial Information Processing and Multidisciplinary Perspective, 1999.
16. P. Michel and R. E. Kaliouby. Real time facial expression recognition in video using support vector machines. In Fifth International Conference on Multimodal Interfaces, pages 258-264, Vancouver, 2003.
17. M. Pantic and I. Patras. Dynamics of facial expression: Recognition of facial actions and their temporal segments from face profile image sequences. IEEE Transactions on System, Man, and Cybernetics, 36(2):433-449, 2006.
18. M. Pantic and L. J. M. Rothkrantz. Automatic analysis of facial expressions: The state of the art. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1424-1445, 2000.
19. M. Pantic, M. Valstar, R. Rademaker, and L. Maat. Web-based database for facial expression analysis. In Proc. IEEE Int'l Conf. Multmedia and Expo (ICME'05), 2005.
20. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, California, 1993.
21. E. M. Sheldon. Virtual agent interactions. PhD thesis, 2001. Major Professor-Linda Malone.
22. R. M. Vick and C. S. Ikehara. Methodological issues of real time data acquisition from multiple sources of physiological data. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences, page 129.1, Washington, DC, USA, 2003. IEEE Computer Society.
23. P. Viola and M. J. Jones. Robust real-time face detection. International Journal of Computer Vision, 57(2):137-154, 2004.
24. M. Wimmer, F. Stulp, S. Pietzsch, and B. Radig. Learning local objective functions for robust face model fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 30(8):1357-1370, 2008.
25. M. Bartlett, Gwen Littlewort, Claudia Lainscsek, Ian Fasel, Javier Movellan Machine Learning Methods for Fully Automatic Recognition of Facial Expressions and Facial Actions. IEEE International Conference on Systems, Man and Cybernetics 2004.
26. R. Schweiger, P. Bayerl, and H. Neumann. Neural architecture for temporal emotion classification. In Affective Dialogue Systems, LNAI 3068, pp 49-52, June 2004.