Publications (3)0 Total impact
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Conference Proceeding: Joint Modeling of Facial Expression and Shape from Video.
Image Analysis, 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005, Proceedings; 01/2005 -
Article: Identification of synthetic and natural emotional facial expressions
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ABSTRACT: Identification of emotional expressions of a Talking Head (TH) were evaluated and compared to that of natural faces. In addition, the effect of static (pictures) and dynamic (video sequences) stimuli was studied. Natural stimuli consisted of six basic emotional expressions (anger, disgust, fear, happiness, sadness and surprise). Two expression sets were selected from both Ekman-Friesen facial affect pictures [1] and Cohn-Kanade database [2]. In addition, two new natural expression sets were recorded in our laboratory. Synthetic expressions were created by our new TH [3], both with and without facial texture. Preliminary results indicate that the TH expressions, except fear, were identified as expected. Overall level of identification of TH stimuli was below those of natural ones. Of all used stimuli, happiness was identified the best and fear the worst. Natural static and dynamic expressions were identified equally well. However, the dynamic expressions of the TH were identified significantly more accurately than the static ones. -
Article: Toolkit for animation of finnish talking head
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ABSTRACT: We have designed and implemented a toolkit for real-time ani-mation of virtual 3D talking head, "Artificial Person". Synchro-nized auditory and visual speech are automatically produced from input text, which can be enriched by user definable com-mands to perform specific gestures, as for example head nod-ding or facial expressions. The toolkit is extensible through ex-ternal configuration files, so new actions can be quickly added. We have configured the Artificial Person to display facial ex-pressions and phoneme articulations. Modular design of the toolkit allows to easily replace parts of the system or to detach and run them on different computers. Our aim was to create a tool that can be used to produce real-istic facial animation for creating controllable stimuli in psy-chophysical and neurophysiological research on audio-visual perception of speech and emotions.
