Facial expression classification based on local spatiotemporal edge and texture descriptors

ACM International Conference Proceeding Series

Volumn , Issue , 2011, Pages

  Gizatdinova, Yulia ^a   Surakka, Veikko ^a   Zhao, Guoying ^b   Mäkinen, Erno ^a   Raisamo, Roope ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b UNIVERSITY OF OULU   (Finland)

Author keywords

Action unit; Emotion; Expression classification; Facial expression; Human behaviour understanding; Local binary pattern; Local oriented edge; Spatiotemporal descriptor

Indexed keywords

ACTION UNIT; DESCRIPTORS; EMOTION; EXPRESSION CLASSIFICATION; FACIAL EXPRESSIONS; HUMAN BEHAVIOUR UNDERSTANDING; LOCAL BINARY PATTERN; LOCAL ORIENTED EDGE;

COMMUNICATION; FACE RECOGNITION; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; TEXTURES;

BEHAVIORAL RESEARCH;

EID: 79952499491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1931344.1931365     Document Type: Conference Paper

References (16)

1. Aleksic, P.S. and Katsaggelos, A.K. Automatic facial expression recognition using facial animation parameters and multi-stream HMMs. IEEE Trans. Information Forensics and Security 1, 1 (2005), 3.
2. Chang, C.-C. and Lin, C.-J. LIBSVM: A library for support vector machines (2001). http://www.csie.ntu.edu.tw/~cjlin/libsvm.
3. Ekman, P. and Friesen, W. Facial Action Coding System (FACS): A technique for the measurement of facial action. Consulting Psychologists Press, Palo Alto, California, 1978.
4. Fasel, B. and Luettin, J. Automatic facial expression analysis: A survey. J. Pattern Recognition 36, 1 (2003), 259-275.
5. Gizatdinova, Y. and Surakka, V. Feature-based detection of facial landmarks from neutral and expressive facial images. IEEE Trans. Pattern Analysis and Machine Intelligence 28, 1 (2006), 135-139. (Pubitemid 46395310)
6. Kotsia, I. and Pitas, I. Facial expression recognition in image sequences using geometric deformation features and support vector machines. IEEE Trans. Image Processing 16, 1 (2007), 172-187. (Pubitemid 46437480)
7. Lei, Z., Liao, S., He, R., Pietikäinen, M.and Li, SZ. Gabor volume based local binary pattern for face representation and recognition. In Proc. Int. Conf. Automatic Face and Gesture Recognition (2008), 1-6.
8. Liao, S., Fan, W., Chung, A.C.S., and Yeung, D.-Y. Facial expression recognition using advanced local binary patterns, tsallis entropies and global appearance features. In Proc. IEEE Int. Conf. Image Processing (2006), 665-668.
9. Mattivi, R. and Shao, L. Human action recognition using LBP-TOP as sparse spatio-temporal feature descriptor. Lecture Notes in Computer Science 5702. In Proc. Int. Conf. Computer Analysis of Images and Patterns (2009), 740-747.
10. Ojala, T., Pietikäinen, M. and Mäenpää, T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Analysis and Machine Intelligence 24, 7 (2002), 971-987. (Pubitemid 34835471)
11. Pantic, M., Rothkrantz, J. Automatic analysis of facial expressions: The state of the art. IEEE Trans. Pattern Analysis and Machine Intelligence 22, 12 (2000), 1424-1445. (Pubitemid 32088469)
12. Viola, P. and Jones, M. Robust real-time face detection. Int. J. Computer Vision 57, 2 (2004), 137-154.
13. Wehrle, Th., Kaiser, S., Schmidt, S., Scherer Kl.R. Studying the dynamics of emotional expression using synthesized facial muscle movements. J. Personality and Social Psychology 78, 1 (2000), 105-119.
14. Zeng, Z., Pantic, M., Roisman, G.I. and Huang T.S. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Trans. Pattern Analysis and Machine Intelligence 31, 1 (2009), 39-58.
15. Zhao, G. and Pietikäinen, M. Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans. Pattern Analysis and Machine Intelligence 29, 6 (2007), 915-928. (Pubitemid 46667407)
16. Zhang, Y. and Ji, Q. Active and dynamic information fusion for facial expression understanding from image sequence. IEEE Trans. Pattern Analysis and Machine Intelligence 27, 5 (2005), 699-714. (Pubitemid 40608403)