Facial expression recognition based on local binary patterns

Author:

Feng X.,Pietikäinen M.,Hadid A.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Reference17 articles.

1. M. Pantic and Leon J. M. Rothkrantz, “Automatic Analysis of Facial Expressions: The State and the Art,” IEEE Trans. on Pattern Analysis and Machine Intelligence 22(12), 1424–1445 (2000).

2. B. Fasel and J. Luettin, “Automatic Facial Expression Analysis: A Survey,” Pattern Recognition 36(1), 259–275 (2003).

3. W. Fellenz, J. Taylor, N. Tsapatsoulis, and S. Kollias, Comparing Template-Based, Feature-Based and Supervised Classification of Facial Expression from Static Images (Computational Intelligence and Applications, World Scientific and Engineering Society Press, 1999).

4. I. Buciu, C. Kotropoulos, and I. Pitas, “ICA and Gabor Representation for Facial Expression Recognition,” in Proceedings Int. Conf. on Image Processing (2003), pp. 855–858.

5. M. Gargesha and P. Kuchi, Facial Expression Recognition Using Artificial Neural Networks (EEE 511-Artificial Neural Computation Systems, Spring, 2002).

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