Automatic estimation of the dynamics of facial expression using a three-level model of intensity

2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

Volumn , Issue , 2008, Pages

  Delannoy, Jane Reilly ^a   McDonald, John ^a  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC ESTIMATION; DEGREE OF ACCURACY; FACIAL EXPRESSIONS; HUMAN COMMUNICATIONS; INTENSITY LEVELS; LOCAL LINEAR EMBEDDING; NON-TRIVIAL TASKS; THREE-LEVEL MODELS; TWO-LEVEL MODELS;

COMPUTER KEYBOARDS; DYNAMICS; ESTIMATION; FACE RECOGNITION;

GESTURE RECOGNITION;

EID: 67650691774     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2008.4813351     Document Type: Conference Paper

References (25)

1. Z. Ambadar, J. Schooler, and J. Cohn. Deciphering the enigmatic face: The importance of facial dynamics to interpreting subtle facial expressions. Psychological Science, 2005. (Pubitemid 40763688)
2. M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan. Automatic recognition of facial actions in spontaneous expressions., 2006.
3. M. Bartlett, J. Movellan, G. Littlewort, B. Braathen, M. G. Frank, and T. J. Sejnowski. Towards automatic recognition of spontaneous facial actions. In book what the face reveals, 2003. Oxford University Press.
4. C. Campbell. kernel methods: A survey of current techniques. Neurocomputing, 48:63-84, 2002. (Pubitemid 36221489)
5. Y. Chang, C. Hu, and M. Turk. Manifold of facial expression. IEEE Workshop on Analysis and Modelling of Faces and Gestures, pages 25-35, 2003.
6. I. Cohen, N. Sebe, and T. L.C.A.G.and Huang. Facial expression recognition from video sequences: Temporal and static modeling, (2003).
7. J. Cohn and Kanade. Cohn-kanade au-coded facial expression database. Technical report, Pittsburgh University, 1999.
8. J. F. Cohn, K. Schmidt, R. Gross, and P. Ekman. Individual differences in facial expression: Stability over time, relation to self-reported emotion, and ability to inform person identification. Proc. of Intel. Conf. On Multimedia and Expo, 2001., 2002.
9. C. Darwin and P. Ekman. The expression of the emotions in man and animal. Chicago: The University of Chicago Press, 1998. 1st edition in 1872, 2nd edition in 1889, 3rd edition with additional commentry by Paul Ekman in 1998.
10. P. Ekman,W. Friesen, and J. Hager. Facial action coding system. Consulting Psychologists Press, 1978.
11. P. Ekman, W. Friesen, and J. Hager. Facial Action Coding System Manual, 2002.
12. P. Ekman, W. V. Friesen, and J. C. Hager. Facial Action Coding System Investigator's Guide, chapter Chapter 11 FACS in Relation to Other Facial Measurement Systems. 2002.
13. J. C. Gower. Generalised procrustes analysis. Psychometrika, 40:33-50, 1975.
14. A. Hadid and M. Pietikdinen. An experimental investigation about the integration of facial dynamics in video-based face recognition. ELCVIA, 5(1):1-13, March 2005.
15. G. Littlewort, M. Bartlett, and K. Lee. Automated measurement of spontaneous facial expressions of genuine and posed pain. In Proc. Int. Conf. on Multimodal Interfaces, Nagoya, Japan., 2007.
16. G. Littlewort, M. S. Bartlett, I. Fasel, J. Chenu, T. Kanda, H. Ishiguro, and J. Movellan. Towards social robots: automatic evaluation of human-robot interaction by face detection and expression classification. Advances in Neural Information Processing Systems, 16:1563-1570, 2004.
17. M. Pantic and I. Patras. Dynamics of facial expression: Recognition of facial actions and their temporal segments from face profile image sequences. SMC-B, 36(2):433-449, April 2006.
18. J. Reilly, J. Ghent, and J. McDonald. Investigating the dyanmics of facial expression. 2nd Int. Symposium on Visual Computing, November 2006.
19. J. Reilly, J. Ghent, and J. McDonald. Non-linear approaches for the classification of facial expressions at varying degrees of intensity. Irish Machine Vision and Image Processing Conf., September 2007.
20. J. Reilly, J. Ghent, and J. McDonald. Affective Computing, focus on Emotion Expression, Synthesis and Recognition, chapter 1 Modelling, Classification and Synthesis of Facial Expressions. I-Tech, 2008.
21. S.Rogers. Machine Learning Techniques for Microarray Analysis. Faculty of engineering mathematics, University of Bristol, 2004.
22. L. K. Saul and S. T. Roweis. Think globally, fit locally: unsupervised learning of low dimensional manifolds. Jnl. of Machine Learning Research, 4(119), 2003.
23. M. A. Sayette, J. F. Cohn, J. M. Wertz, M. A. Perrott, and D. J. Parrott. A Psychometric Evaluation of the Facial Action Coding System for Assessing Spontaneous Expression. Springer Netherlands, 2001. (Pubitemid 33348892)
24. E. Vural, M. Cetin, A. Ercil, G. Littlewort, M. Bartlett, and J. Movellan. Drowsy driver detection through facial movement analysis. In In Proc ICCV, 2007.
25. A. Zheng. Deconstructing motion. Technical report, EECS department, U. C. Berkley, 2000.