A similarity-based neural network for facial expression analysis

Pattern Recognition Letters

Volumn 28, Issue 9, 2007, Pages 1104-1111

  Suzuki, Kenji ^a   Yamada, Hiroshi ^b   Hashimoto, Shuji ^c  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b NIHON UNIVERSITY   (Japan)

^c WASEDA UNIVERSITY   (Japan)

Author keywords

Facial expressions; Multidimensional perceptual scaling; Nonlinear mapping; Similarity based neural network; Stable dynamic parameter adaptation

Indexed keywords

MULTILAYER NEURAL NETWORKS; NONLINEAR ANALYSIS; SEMANTICS; SET THEORY; STATISTICAL METHODS;

FACIAL EXPRESSIONS; MULTIDIMENSIONAL PERCEPTUAL SCALING; NONLINEAR MAPPING; SIMILARITY-BASED NEURAL NETWORK; STABLE DYNAMIC PARAMETER ADAPTATION;

FACE RECOGNITION;

EID: 34147174389     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.01.005     Document Type: Article

References (25)

1. Biehl M., Matsumoto D., Ekman P., et al. Matsumoto and Ekman's Japanese and Caucasian facial expressions of emotion (JACFEE): Reliability data and cross-national differences. J. Nonverbal Behav. 21 1 (1997) 3-21
2. Du Y., and Lin X. Emotional facial expression model building. Pattern Recognition Lett. 24 16 (2003) 2923-2934
3. Duch, W., 1997. Neural minimal distance methods. In: Proc. 3rd Conf. on Neural Networks and Their Applications, Kule, pp. 183-188.
4. Ekman P. Facial expression of emotion. Amer. Psychol. 48 (1992) 384-392
5. Ekman P., and Friesen W. Facial Action Coding System: A Technique for the Measurement of Facial Movement (1978), Consulting Psychologists Press
6. Etcoff N., and Magee J. Categorical perception of facial expressions. Cognition 44 (1992) 227-240
7. Hayashi C. On the prediction of phenomena from mathematicostatistical point of view. Ann. Inst. Statist. Math. 3 (1952) 69-98
8. Hu T., De Silva L.C., and Sengupta K. A hybrid approach of NN and HMM for facial emotion classification. Pattern Recognition Lett. 23 11 (2002) 1303-1310
9. Katsikitis M. The classification of facial expressions of emotion. A multidimensional scaling approach. Perception 26 (1997) 613-626
10. Kruskal J.B., and Wish M. Multidimensional Scaling (1978), Sage Publications, Beverly Hills, Calif
11. Padgett C., and Cottrell G. Representing face images for classifying emotions. Advances in Neural Information Processing Systems vol. 9 (1997), MIT Press, Cambridge, MA
12. Rüger S.M. Stable dynamic parameter adaptation. Advances in Neural Information Processing Systems vol. 8 (1996), MIT Press 225-231
13. Russell J.A., and Bullock M. Multidimensional scaling of emotional facial expressions: Similarity from preschoolers to adults. J. Personal. Social Psychol. 48 (1985) 1290-1298
14. Russell J.A., and Bullock M. Fuzzy concepts and the perception of emotion in facial expressions. Social Cognit. 4 3 (1986) 309-341
15. Russell J.A., and Fernández-Dols J.M. The Psychology of Facial Expression (Studies in Emotion and Social Interaction, 2nd Series) (1997), Cambridge University Press, New York, NY
16. Sammon J.W. Nonlinear mapping algorithm for data structure analysis. IEEE Trans. Comput. C-18 (1969) 401-409
17. Schlosberg H. The description of facial expressions in terms of two dimensions. J. Exp. Psychol. 44 (1952) 229-237
18. Schlosberg H. Three dimensions of emotion. Psychol. Rev. 61 2 (1954) 81-88
19. Squire, D., 1998. Learning a similarity-based distance measure for image database organization from human partitionings of an image set. In: Proc. 4th IEEE Workshop on Applications of Computer Vision, Princeton, NJ, USA, pp. 88-93.
20. Suzuki, K., Hashimoto S., 1997. Modeling of emotional sound space using neural networks. In: Proc. AIMI Internat. Workshop on Kansei - The Technology of Emotion, pp. 116-121.
21. Suzuki, K., Hashimoto, S., 2005. On the evaluation of relevance learning by a multi-layer perceptron. Proc. Internat. Joint Conf. on Neural Networks, pp. 3204-3209.
22. Suzuki, K., Yamada H., Hashimoto, S., 2001. Interrelating the physical feature of facial expression and its impression. In: Proc. IEEE/INNS Internat. Conf. on Neural Networks, Washington DC, pp. 1864-1869.
23. Yamada H. Visual information for categorizing facial expression of emotion. Jpn. Psychol. Rev. 35 (1993) 172-181
24. Yamada, H., 1993b. A basic research on the process of facial expression perception. Ph.D. Thesis, Nihon University (in Japanese).
25. Zhang, Z., Lyons, M., Schuster, M., Akamatsu, S., 1998. Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron. In: Proc. 3rd IEEE Conf. on Face and Gesture Recognition, Nara, Japan.