Abstract


The subject of this study is to develop image processing methodologies for recognition of human facial expression to understand human emotion, and for the synthesis of facial expression to express emotion by computer graphics. With the respect to the recognition of facial expression, a real-time image processing system is developed to calculate the distance changes of various feature points on the face and then correlate them with fuzzy rules to inter the degree of six basic emaiotn factors. On the other hand, a so-called muscle model process is adopted for effective image synthesis for facial expression, muscle contractions are simulated and animated as facial expression, based on Facial Action Coding System.

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(C) 2020 Hirotake Ishii