Cloud basis function neural network: A modified RBF network architecture for holistic facial expression recognition

Pattern Recognition

Volumn 41, Issue 4, 2008, Pages 1241-1253

  De Silva, Chathura R ^a   Ranganath, Surendra ^b   De Silva, Liyanage C ^c  

^a UNIVERSITY OF MORATUWA   (Sri Lanka)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c MASSEY UNIVERSITY   (New Zealand)

Author keywords

Facial expression recognition; High dimensional classifiers; Holistic classification; Human computer interface; Neural networks; Radial basis functions (RBF)

Indexed keywords

DATABASE SYSTEMS; FACE RECOGNITION; FEATURE EXTRACTION; HUMAN COMPUTER INTERACTION; IMAGE CLASSIFICATION; NETWORK ARCHITECTURE;

CLOUD BASIS FUNCTIONS (CBF); FACIAL EXPRESSION RECOGNITION; FUNCTION NEURAL NETWORKS; HIGH DIMENSIONAL CLASSIFIERS; HOLISTIC CLASSIFICATION;

RADIAL BASIS FUNCTION NETWORKS;

EID: 36849009815     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2007.09.015     Document Type: Article

References (34)

1. Ekman P., and Friesen W.V. Constants across cultures in the face and emotion. J. Pers. Soc. Psychol. 17 2 (1971) 124-129
2. M. Suwa, N. Sugie, K. Fujimora, A preliminary note on pattern recognition of human emotional expression, in: Proceedings of the Fourth International Joint Conference on Pattern Recognition, Kyoto, Japan, 1978, pp. 408-410.
3. Samal A., and Iyengar P.A. Automatic recognition and analysis of human faces and facial expressions: a survey. Pattern Recognition 25 1 (1992) 65-77
4. Pantic M., and Rothkrantz L.J.M. Automatic analysis of facial expressions: the state of the art. IEEE Trans. Pattern Anal. Mach. Intell. 22 12 (2000) 1424-1445
5. Fasel B., and Luettin J. Automatic facial expression analysis: a survey. Pattern Recognition 36 1 (2003) 259-275
6. Mase K. Recognition of facial expression from optical flow. Proc. IEICE Trans. Spec. Issue Comput. Vision Appl. 74 (1991) 3474-3483
7. Black M.J., and Yacoob Y. Recognizing facial expressions in image sequences using local parameterized models of image motion. Int. J. Comput. Vision 25 1 (1997) 23-48
8. Essa I., and Pentland A. Coding, analysis interpretation, recognition of facial expressions. IEEE Trans. Pattern Anal. Mach. Intell. 19 7 (1997) 757-763
9. J.F. Cohn, A.J. Zlochower, J.J. Lien, T. Kanade, Feature-point tracking by optical flow discriminates subtle differences in facial expression, in: Proceedings of the International Conference on Automatic Face and Gesture Recognition, 1998, pp. 396-401.
10. M. Wang, Y. Iwai, M. Yachida, Expression recognition from time-sequential facial images by use of expression change model, in: Proceedings of the International Conference on Automatic Face and Gesture Recognition, 1998, pp. 324-329.
11. Lanitis A., Taylor C., and Cootes T. Automatic interpretation and coding of face images using flexible models. IEEE Trans. Pattern Anal. Mach. Intell. 19 7 (1997) 743-756
12. H. Hong, H. Neven, C. von der Malsburg, Online facial expression recognition based on personalized galleries, in: Proceedings of the International Conference on Automatic Face and Gesture Recognition, 1998, pp. 354-359.
13. Z. Zhang, M. Lyons, M. Schuster, S. Akamatsu, Comparison between geometry-based and gabor wavelets-based facial expression recognition using multi-layer perceptron, in: Proceedings of the International Conference on Automatic Face and Gesture Recognition, 1998, pp. 454-459.
14. H. Kobayashi, F. Hara, Recognition of six basic facial expressions and their strength by neural network, in: Proceedings of the International on Workshop Robot and Human Communication, 1992, pp. 381-386.
15. Pantic M., and Rothkrantz L.J.M. Expert system for automatic analysis of facial expression. J. Image Vision Comput. 18 11 (2000) 881-905
16. J. Zhao, G. Kearney, Classifying facial emotions by backpropagation neural networks with fuzzy inputs, in: Proceedings of the International Conference on Neural Information Processing, vol. 1, 1996, pp. 454-457.
17. Turk M., and Pentland A. Eigenfaces for recognition. J. Cognitive Neurosci. 3 1 (1991) 71-86
18. M.S. Bartlett, H.M. Lades, T.J. Sejnowski, Independent component representations for face recognition, in: Proceedings of SPIE Symposium on Electronic Imaging: Science and Technology; Human Vision and Electronic Imaging III. 3,299, San Jose, CA, 1998, pp. 528-539.
19. Belhumeur P., Hespanha J., and Kriegman D. Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19 7 (1997) 711-720
20. Lades M., Vorbruggen J., Buhmann J., Lange J., and Von der Malsburg C. Distortion invariant object recognition in the dynamic link architecture. IEEE Trans. Comput. 42 (1993) 300-311
21. Donato G., Bartlett S., Hager C., Ekman P., and Sejnowski J. Classifying facial actions. IEEE Trans. Pattern Anal. Mach. Intell. 21 10 (1999) 974-989
22. Ekman P., and Friesen W.V. Facial Action Coding System: A Technique for the Measurement of Facial Movement (1978), Consulting Psychologists Press, Palo Alto
23. M.S. Bartlett, G. Littlewort, I. Fasel, J.R. Movellan, Real time face detection and facial expression recognition: development and applications to human computer interaction, in: CVPR Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction, Vancouver, Canada, 2003.
24. Y. Wang, H. Ai, B. Wu, C. Huang, Real time facial expression recognition with AdaBoost, in: Proceedings of the 17th International Conference on Pattern Recognition ICPR 2004, vol. 3, August 2004, pp. 926-929.
25. C. Padgett, G. Cottrell, R. Adolphs, Categorical perception in facial emotion classification, in: Proceedings of the 18th Annual Conference of the Cognitive Science Society, San Diego, CA, 1996, pp. 249-253.
26. D.T. Lin, J. Chen, Facial expressions classification with hierarchical radial basis function networks, in: Proceedings of the 6th International Conference on Neural Information Processing, ICONIP'99, vol. 3, 1999, pp. 1202-1207.
27. Ma L., and Khorasani K. Facial expression recognition using constructive feedforward neural networks. IEEE Trans. Syst. Man Cybernetics-Part B: Cybernetics 34 3 (2004) 1588-1595
28. Haykin S. Neural Network-A Comprehensive Foundation (1999), Prentice-Hall, Englewood Cliffs, NJ
29. Bishop C.M. Neural Networks for Pattern Recognition (1995), Oxford University Press, Oxford
30. Diamantaras K.I., and Kung S.Y. Principal Component Neural Networks: Theory and Applications (1996), Wiley, New York
31. Rowley H.A., Baluja S., and Kanade T. Neural network-based face detection. IEEE Trans. Pattern Anal. Mach. Intell. 20 1 (1998) 23-38
32. C.R. De Silva, New radial basis function network based techniques for holistic recognition of facial expressions, Ph.D. Thesis, National University of Singapore, 2005.
33. S. Mika, G. Rätsch, J. Weston, B. Schölkopf, A.J. Smola, K.-R. Müller, Invariant feature extraction and classification in kernel spaces, in: Advances in Neural Information Processing Systems, vol. 12, MIT Press, Cambridge, MA, 2000, pp. 526-532.
34. T. Kanade, J.F. Cohn, Y. Tian, Comprehensive database for facial expression analysis, in: The Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG'00), France, 2000.