By vedran kordic
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Additional resources for Affective Computing Focus on Emotion Expression Synthesis and Recognition
P. V. Friesen. Facial Action Coding System. Consulting Psychology Press, Palo Alto, CA, USA, 1977. B. Fasel and J. Luettin. 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.
Dornaika and F. Davoine. View- and texture-independent facial expression recognition in videos using dynamic programming. In IEEE International Conference on Image Processing, 2005. F. Dornaika and F. Davoine. On appearance based face and facial action tracking. IEEE Transactions on Circuits and Systems for Video Technology, 16(9), September 2006. P. V. Friesen. Facial Action Coding System. Consulting Psychology Press, Palo Alto, CA, USA, 1977. B. Fasel and J. Luettin. Automatic facial expression analysis: A survey.
In our study, we adopt these facial expressions together with the neutral expression, that is, Nγ is set to 7. e. at = [ τ aT(t ) , γ t]T . This separation is consistent with the fact that the facial expression is highly correlated with the facial actions, while the 3D head pose is independent of the facial actions and expressions. The remainder of this section is organized as follows. 1 provides some backgrounds. 2 describes the proposed approach for the simultaneous tracking and recognition. 3 describes experiments and provides evaluations of performance to show the feasibility and robustness of the proposed approach.
Affective Computing Focus on Emotion Expression Synthesis and Recognition by vedran kordic