CONSTRUCTION OF QUANTITATIVE ESTIMATION SYSTEM OF FACE EXPRESSION BASED ON 3D HUMAN HEAD STRUCTURAL MODEL

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In this research, firstly a system for measuring 3d struction of face is constructed. In this system, markers are located on surface of the face and geometry is captured by 2 cameras located on front and side by tracking each marker. By using this system, quantitative description of Facial Action Coding System and feature of lip shape when utterance are realized. And this system make it possible to synthesized facial expression as it is by modifying 3d wireframe and texture mapping of frontal face image.Next, six basic expression are realized by combination of action unit and 3d emotion space is constructed by neural network for identity mapping. Specific facial expression is described by the point in 3d emotion space and this emotion space can realize both analysis and synthesis of facial expression. By estimation of this emotion space, expression is defined continuously in this space and it is approved this emotion space is good in psychological meanings.Finaly, automatic face expression recognition is realized without any markers. In this system, spatial frequency in mouth and eye region is calculated and converted to one of the emotion categories by neural network. This system is running in real time and recognition performance is similar to human subjective recognition.