Salient feature and reliable classifier selection for facial expression classification

Author:

Kyperountas Marios,Tefas Anastasios,Pitas Ioannis

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. Automatic facial expression analysis: a survey;Fasel;Pattern Recognition,2003

2. Automatic analysis of facial expressions: the state of the art;Pantic;IEEE Transactions on Pattern Analysis and Machine Intelligence,2000

3. W. Fellenz, J. Taylor, N. Tsapatsoulis, S. Kollias, Comparing template-based, feature-based and supervised classification of facial expression from static images, in: Proceedings of the IMACS/IEEE International Multi-conference on Circuits, Systems, Communications, and Computers, vol. 1, July 1999, pp. 5331–5336.

4. I.S. Pandzic, R. Forchheimer (Eds.), MPEG-4 Facial Animation, Wiley, New York, 2002.

5. M. Pantic, A. Pentland, A. Nijholt, T.S. Huang, Human computing and machine understanding of human behavior: a survey, in: T.S. Huang, A. Nijholt, M. Pantic, A. Pentland (Eds.), Artificial Intelligence for Human Computing, Lecture Notes in Artificial Intelligence, vol. 4451, Springer, Berlin, 2007, pp. 47–71.

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