By vedran kordic
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Extra resources for Affective Computing Focus on Emotion Expression Synthesis and Recognition
Face recognition based on fitting a 3D morphable model. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1-12, September 2003. M. Buenaposada, E. Munoz, and L. Baumela. Efficiently estimating facial expression and illumination in appearance-based tracking. In British Machine Vision Conference, 2006. P. Chandrasiri, T. Naemura, and H. Harashima. Interactive analysis and synthesis of facial expressions based on personal facial expression space. In IEEE International Conference on Automatic Face and Gesture Recognition, 2004.
Automatic facial expression analysis: A survey. Pattern Recognition, 36(1):259-275, 2003. B. Y. Bouguet, C. Tomasi, and B. Girod. Model-based face tracking for viewindependent facial expression recognition. In IEEE International Conference on Automatic Face and Gesture Recognition, 2002. Y. Huang, T. S. Huang, and H. Niemann. A region-based method for model-free object tracking. In 16th International Conference on Pattern Recognition, 2002. J. Huber. Robust Statistics. Wiley, 1981. M. Isard and A.
Cohn. Recognizing action units for facial expression analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:97-115, 2001. Y. Wang, H. Ai, B. Wu, and C. Huang. Real time facial expression recognition with Adaboost. In IEEE Int. Conference on Pattern Recognition, 2004. Z. S. Huang. Capturing subtle facial motions in 3D face tracking. In IEEE International Conference on Computer Vision, 2003. T. H. Y. Cho. Expression recognition using fuzzy spatio temporal modeling. Pattern Recognition, 41(1):204-216, January 2008.
Affective Computing Focus on Emotion Expression Synthesis and Recognition by vedran kordic