Improving the robustness of subspace learning techniques for facial expression recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6352 LNCS, Issue PART 1, 2010, Pages 470-479

  Bolis, Dimitris ^a   Maronidis, Anastasios ^a   Tefas, Anastasios ^a   Pitas, Ioannis ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE APPROACH; APPEARANCE BASED; APPEARANCE-BASED METHODS; BOUNDING BOX; DATABASE ENRICHMENT; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; GEOMETRICAL TRANSFORMATION; REAL-WORLD APPLICATION; REGISTRATION ERROR; ROTATED IMAGES; STRONG CORRELATION; SUBSPACE LEARNING; SUBSPACE TECHNIQUES; SYSTEMATIC EXPERIMENT;

EXPERIMENTS; GESTURE RECOGNITION; LEARNING ALGORITHMS; NEURAL NETWORKS; SYSTEMATIC ERRORS;

FACE RECOGNITION;

EID: 78049370705     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15819-3_63     Document Type: Conference Paper

References (12)

1. Ekman, P., Friesen, W. V.: Constants across cultures in the face and emotion. Journal of Personality and Social Psychology 17(2), 124-129 (1971)
2. Zeng, Z., Pantic, M., Roisman, G. I., Huang, T. S.: A survey of affect recognition methods: audio, visual and spontaneous expressions. In: ICMI 2007: Proceedings of the 9th International Conference on Multimodal Interfaces, pp. 126-133. ACM, New York (2007)
3. Jolliffe, I.: Principal Component Analysis. Springer, Heidelberg (1986)
4. Lee, D. D., Seung, H. S.: Learning the parts of objects by non-negative matrix factorization. Nature 401, 788-791 (1999)
5. Zafeiriou, S., Tefas, A., Buciu, I., Pitas, I.: Exploiting discriminant information in non negative matrix factorization with application to frontal face verification. 17(4), 395-416 (2007)
6. Belhumeur, P. N., Hespanha, J. P., Kriegman, D. J.: Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 711-720 (1997)
7. Lee, D. D., Seung, H. S.: Algorithms for non-negative matrix factorization. In: NIPS, pp. 556-562 (2000)
8. Chellappa, R., Wilson, C. L., Sirohey, S.: Human and machine recognition of faces: a survey. Proceedings of the IEEE 83(5), 705-741 (1995)
9. Tefas, A., Kotropoulos, C., Pitas, I.: Using support vector machines to enhance the performance of elastic graph matching for frontal face authentication. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 735-746 (2001)
10. Yin, L., Wei, X., Sun, Y., Wang, J., Rosato, M. J.: A 3d facial expression database for facial behavior research. In: FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, Washington, DC, USA, pp. 211-216. IEEE Computer Society, Los Alamitos (2006)
11. Lyons, M., Akamatsu, S., Kamachi, M., Gyoba, J.: Coding facial expressions with gabor wavelets, pp. 200-205 (1998)
12. Kanade, T., Cohn, J. F., Tian, Y.: Comprehensive database for facial expression analysis. In: Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France, pp. 46-53 (2000)