Affective Computing Focus on Emotion Expression Synthesis by vedran kordic PDF

By vedran kordic

ISBN-10: 3902613238

ISBN-13: 9783902613233

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More recently, it has become obvious that facial expressions and knowledge or beliefs about the expresser are not the only sources of information that people use. In fact, gaze direction has to be added to the list of cues that need to be taken into account. 4. Gaze and emotion Gaze direction has traditionally not been considered to be part of the emotional expression itself (see Fehr & Exline, 1987). Direct gaze was seen to play an important role only for the perception of the intensity of the emotion but not of it’s quality (Argyle & Cook, 1976; Kleinke, 1986).

Sanfeliu. 3D real-time tracking fusing color histograms and stereovision. In IEEE International Conference on Pattern Recognition, 2002. 44 Affective Computing, Focus on Emotion Expression, Synthesis and Recognition B. North, A. Blake, M. Isard, and J. Rittscher. Learning and classification of complex dynamics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(9):10161034, 2000. M. M. Rothkrantz. Automatic analysis of facial expressions: The state of the art. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1424-1445, 2000.

For the sake of clarity, only three out of six components are shown. For this sequence, the maximum probability was correctly indicating the displayed expression. We noticed that some displayed expressions can, during a short initial phase (very few frames), be considered as a mixture of two expressions (the displayed one and another one). This is due to the fact that face postures and dynamics at some transition phases can be shared by more than one expression. This is not a problem since the framewise expression probabilities can be merged and averaged over a temporal patch including contiguous non-neutral frames.

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Affective Computing Focus on Emotion Expression Synthesis and Recognition by vedran kordic


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