Information Technology Reference
In-Depth Information
work was partly supported by National Natural Science Foundation of China under
Grants 60872160 and 61073137. The authors would like to thank the anonymous re-
viewers for their constructive advice.
References
1. Fasel, B., Luettin, J.: Automatic facial expression analysis: a survey. Pattern Recognition 36,
259-275 (2003)
2. Zeng, Z., Pantic, M., Roisman, G., Huang, T.: A survey of affective recognition methods: Au-
dio, visual and spontaneous expression. IEEE Transactions on Pattern Analysis and Machine
Intelligence 31(1), 39-58 (2009)
3. Tian, T., Kanade, T., Cohn, J.: Facial expression analysis. In: Li, S., Jain, A.K. (eds.) Hand-
book of Face Recognition. Spinger, Heidelberg (2004)
4. Tian, Y., Kanade, T., Cohn, J.: Recognizing action units for facial expression analysis. IEEE
Transactions on Pattern Analysis and Machine Intelligence 23(2), 97-115 (1999)
5. Kobayashi, H., Hara, F.: Facial interaction between animated 3D face robot and human being.
In: Systems, Man and Cybernetics, pp. 3732-3737. IEEE Press, New York (1997)
6. Lyons, M., Akamatsu, S., Kamachi, M., Gyoba, J.: Coding facial expressions with Gabor
wavelets. In: Automatic Face and Gesture Recognition, pp. 200-205. IEEE Press, New York
(1998)
7. Yaser, Y., Larry, S.: Recognizing human facial expressions from long image sequences using
optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(6), 636-
642 (1996)
8. Chen, F., Kotani, K.: Facial expression recognition by supervised independent component
analysis using MAP estimation. IEICE - Transactions on Information and Systems 2, 341-
350 (2008)
9. Penev, P., Atick, J.: Local feature analysis: a general statistical theory for object representa-
tion. Network: Computation in Neural Systems 7(3), 477-500 (1996)
10. Kotsia, I., Pitas, I.: Facial expression recognition in image sequences using geometric defor-
mation features and support vector machines. IEEE Transactions on Image Processing 16(1),
172-187 (2007)
11. Donato, G., Bartlett, M., Hager, J., Ekman, P., Sejnowski, T.: Classifing facial actions. IEEE
Transactions on Pattern Analysis and Machine Intelligence 21(10), 974-989 (1999)
12. Feng, X., Pietikainen, M., Hadid, A.: Facial expression recognition based on local binary
patterns and linear programming. Pattern Recognition and Image Analysis 15(2), 546-548
(2005)
13. Lanitis, A., Taylor, C., Cootes, T.: Automatic interpretation and coding of face images us-
ing flexible models. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7),
743-756 (1997)
14. Yesin, M., Bullot, B., Sharma, R.: From facial expression to level of interest: a spatio-
temporal approach. In: Computer Vision and Pattern Recognition, pp. 922-927. IEEE Press,
New York (2004)
15. Heisele, B., Koshizen, B.: Components for face recognition. In: Automatic Face and Gesture
Recognition, pp. 153-158. IEEE Press, New York (2004)
16. Ivanov, I., Heisele, B., Serre, T.: Using component features for face recognition. In: Auto-
matic Face and Gesture Recognition, pp. 421-426. IEEE Press, New York (2004)
17. Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.G.: Active shape models - their training
and application. Computer Vision and Image Understanding 61, 38-59 (1995)
Search WWH ::
Custom Search