Continuous AU intensity estimation using localized, sparse facial feature space

2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013

Volumn , Issue , 2013, Pages

  Jeni, Laszlo A ^a   Girard, Jeffrey M ^b   Cohn, Jeffrey F ^b   De La Torre, Fernando ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED MEASUREMENT; AUTOMATIC FACIAL EXPRESSION ANALYSIS; CONTINUOUS MEASUREMENTS; EMOTION INDUCTIONS; INTENSITY ESTIMATION; SPARSE REPRESENTATION; SPONTANEOUS FACIAL BEHAVIOR; STATE-OF-THE-ART PERFORMANCE;

ALGORITHMS; DATABASE SYSTEMS; STATISTICAL TESTS;

FACE RECOGNITION;

EID: 84881504763     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2013.6553808     Document Type: Conference Paper

References (32)

1. Y. Tian, T. Kanade, and J. Cohn, "Facial expression analysis," Handbook of face recognition, pp. 247-275, 2005.
2. Z. Zeng, M. Pantic, G. Roisman, and T. Huang, "A survey of affect recognition methods: Audio, visual, and spontaneous expressions," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 31, no. 1, pp. 39-58, 2009.
3. F. D. la Torre and J. F. Cohn, "Ri: Medium: Unsupervised and weaklysupervised discovery of facial events," in ed: NSF, 2010.
4. J. F. Cohn and K. L. Schmidt, "The timing of facial motion in posed and spontaneous smiles," J. Wavelets, Multi-resolution and Information Processing, vol. 2, pp. 1-12, 2004.
5. Z. Ambadar, J. Cohn, and L. Reed, "All smiles are not created equal: Morphology and timing of smiles perceived as amused, polite, and embarrassed/nervous," Journal of Nonverbal Behavior, vol. 33, pp. 17-34, 2009. Online Available: http://dx.doi.org/10.1007/s10919-008-0059-5
6. P. Ekman, W. Friesen, and J. Hager, Facial Action Coding System (FACS): Manual. Salt Lake City (USA): A Human Face, 2002.
7. N. Zaker, M. H. Mahoor, W. I. Mattson, D. S. Messinger, and J. F. Cohn, "Intensity measurement of spontaneous facial actions: Evaluation of different image representations," in International Conference on Development and Learning, 2012.
8. M. Mahoor, S. Cadavid, D. Messinger, and J. Cohn, "A framework for automated measurement of the intensity of non-posed facial action units," 2009, pp. 74-80.
9. S. Kaltwang, O. Rudovic, and M. Pantic, "Continuous pain intensity estimation from facial expressions," in Advances in Visual Computing, ser. Lecture Notes in Computer Science, vol. 7432. Heidelberg: Springer, 2012, pp. 368-377.
10. Z. Hammal and J. F. Cohn, "Temporal coordination of head motion in couples with history of interpersonal violence," in IEEE International Conference on Automatic Face and Gesture Recognition, 2013.
11. K. Prkachin and P. Solomon, "The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain," Pain, vol. 139, pp. 267-274, 2008.
12. P. Lucey, J. F. Cohn, K. M. Prkachin, P. Solomon, and I. Matthews, "Painful data: The unbc-mcmaster shoulder pain expression archive database," Image, Vision, and Computing Journal, vol. 30, pp. 197-205, 2012.
13. R. Woodworth and H. Schlosberg, Experimental Psychology. Holt, 1954. Online Available: http://books.google.com/books?id=yL9zr\ pGXugC
14. M. A. Nicolaou, H. Gunes, and M. Pantic, "Output-associative rvm regression for dimensional and continuous emotion prediction," in IEEE International Conference on Automatic Face and Gesture Recognition, 2011.
15. H. Gunes and M. Pantic, "Automatic, dimensional, and continuous emotion recognition," International Journal of Synthetic Emotions, vol. 1, pp. 68-99, 2010.
16. J. F. Cohn, "Foundations of human-centered computing: Facial expression and emotion," in International Joint Conference on Artificial Intelligence, 2006.
17. W. A. Freiwald, D. Y. Tsao, and M. S. Livingstone, "A face feature space in the macaque temporal lobe," Nature Neuroscience, vol. 12, pp. 1187-1196, 2009.
18. J. Ngiam, P. W.W. Koh, Z. Chen, S. A. Bhaskar, and A. Y. Ng, "Sparse filtering," in Advances in Neural Information Processing Systems 24, J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, Eds., 2011, pp. 1125-1133.
19. J. M. Saragih, S. Lucey, and J. F. Cohn, "Deformable model fitting by regularized landmark mean-shift," International Journal of Computer Vision, vol. 91, pp. 200-215, 2011.
20. R. Tibshirani, "Regression shrinkage and selection via the lasso," Journal of the Royal Statistical Society, vol. 58, pp. 267-288, 1994.
21. H. Kim and H. Park, "Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method," SIAM Journal on Matrix Analysis and Applications, vol. 30, pp. 713-730, 2008.
22. Y. Wang and Y. Zhang, "Non-negative matrix factorization: A comprehensive review," IEEE Transactions on Knowledge and Data Engineering, vol. PP, pp. 1-20, 2012.
23. J. Shawe-Taylor and N. Cristianini, Kernel Methods for Pattern Analysis. UK: Cambridge University Press, 2004.
24. T. Kanade, J. F. Cohn, and Y. Tian, "Comprehensive database for facial expression analysis," in IEEE International Conference on Automatic Face and Gesture Recognition. IEEE, 2000, pp. 46-53.
25. P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, and I. Matthews, "The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion specified expression," in 3rd IEEE Workshop on CVPR for Human Communicative Behavior Analysis. IEEE, 2010, pp. 94-101.
26. Y. Tong, W. Liao, and Q. Ji, "Facial action unit recognition by exploiting their dynamic and semantic relationships," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, pp. 1683-1699, 2007.
27. X. Zhang, L. Yin, A. Horowitz, M. Reale, S. Canavan, P. Liu, and J. F. Cohn, "A 3d spontaneous dynamic facial expression database," in IEEE International Conference on Automatic Face and Gesture Recognition. IEEE, 2013, pp.-.
28. T. Wu, M. S. Bartlett, and J. R. Movellan, "Facial expression recognition using gabor motion energy filters," in Workshop on CVPR for Human Communicative Behavior Analysis. IEEE, 2010, pp. 42-47.
29. F. Long, T. Wu, J. R. Movellan, M. S. Bartlett, and G. Littlewort, "Learning spatiotemporal features by using independent component analysis with application to facial expression recognition," Neurocomputing, vol. 93, pp. 126-132, 2012.
30. P. Yang, Q. Liu, and D. N. Metaxas, "Boosting encoded dynamic features for facial expression recognition," Pattern Recognition Letters, vol. 30, pp. 132-139, 2009.
31. T. McLellan, L. Johnston, J. Dalrymple-Alford, and R. Porter, "Sensitivity to genuine versus posed emotion specified in facial displays," Cognition and Emotion, vol. 24, pp. 1277-1292, 2010.
32. K. L. Schmidt, Z. Ambadar, J. F. Cohn, and L. I. Reed, "Movement differences between deliberate and spontaneous facial expressions: Zygomaticus major action in smiling," Journal of Nonverbal Behavior, vol. 30, pp. 37-52, 2006.