Capturing complex spatio-temporal relations among facial muscles for facial expression recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2013, Pages 3422-3429

  Wang, Ziheng ^a   Wang, Shangfei ^b   Ji, Qiang ^a  

^a RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Facial Expression Recognition; ITBN

Indexed keywords

BENCHMARK DATABASE; CONTRIBUTING FACTOR; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; ITBN; SPATIO-TEMPORAL RELATIONS; SPATIOTEMPORAL INFORMATION; TEMPORAL RELATION;

BAYESIAN NETWORKS; DYNAMIC MODELS; GESTURE RECOGNITION; MUSCLE;

FACE RECOGNITION;

EID: 84887348989     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.439     Document Type: Conference Paper

References (15)

1. J. F. Allen. Maintaining knowledge about temporal intervals. Commun. ACM, 26(11):832-843, 1983. 3
2. I. Cohen, N. Sebe, L. Chen, A. Garg, and T. S. Huang. Facial expression recognition from video sequences: Temporal and static modelling. In Computer Vision and Image Understanding, pages 160-187, 2003. 1, 2
3. C. P. de Campos, Z. Zeng, and Q. Ji. Structure learning of Bayesian networks using constraints. In ICML, 2009. 5
4. S. Jain, C. Hu, and J. K. Aggarwal. Facial expression recognition with temporal modeling of shapes. In ICCV Workshops, pages 1642-1649. IEEE, 2011. 2
5. R. E. Kaliouby and P. Robinson. Real-time inference of complex mental states from facial expressions and head gestures. In CVPR Workshop, 2004. 1, 2
6. T. Kanade, J. Cohn, and Y. Tian. Comprehensive database for facial expression analysis. In Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on, pages 46-53, 2000. 6
7. P. Lucey, J. 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 CVPR Workshop, pages 94-101, june 2010. 6, 7, 8
8. M. Lyons, S. Akamatsu, M. Kamachi, and J. Gyoba. Coding facial expressions with gabor wavelets. In Proceedings of the 3rd. International Conference on Face & Gesture Recognition, 1998. 2
9. T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 24(7):971-987, jul 2002. 2
10. M. Pantic and L. Rothkrantz. Facial action recognition for facial expression analysis from static face images. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 34(3):1449-1461, june 2004. 1
11. L. Shang and K.-P. Chan. Nonparametric discriminant hmm and application to facial expression recognition. In Computer Vision and Pattern Recognition, IEEE Conference on, pages 2090-2096, June 2009. 1, 2
12. M. F. Valstar and M. Pantic. Induced Disgust, Happiness and Surprise: an Addition to the MMI Facial Expression Database. In Proceedings of Int'l Conf. Language Resources and Evaluation, Workshop on EMOTION, pages 65-70, Malta, May 2010. 6
13. M. F. Valstar and M. Pantic. Fully automatic recognition of the temporal phases of facial actions. IEEE Transactions on Systems, Man, and Cybernetics, Part B, pages 28-43, 2012. 1, 2
14. 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, 31(1):39-58, Jan 2009. 2
15. L. Zhong, Q. Liu, P. Yang, B. Liu, J. Huang, and D. Metaxas. Learning active facial patches for expression analysis. In CVPR, pages 2562-2569, june 2012. 8