Face Analysis and Synthesis Model Expressing Individual Characteristics and Aging Features with High Reality

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In the several properties of human face, we focused on personal characteristics, age, emotion and health condition, and then a parametric face model has been realized with high reality and accuracy. First of all, we produced an individual face model with variation of muscles location and fat layer structure on face by anatomical analysis of real face by collaboration with Prof. Shimada. Next, we found the statistical rules in a human face structure and constructed a generic 3D face model by analysis of huge face database including 3D range scan data and frontal snap shots. At first, we proposed the algorithm to extract feature points stably and robustly on frontal face image by linear predictors. Then we proposed new method to extract individual 3D feature of face accurately and constructed a real-time and automatic 3D face reconstruction system by camera captured photo. Also we found the wrinkles are very important to produce an aged face, and then we constructed an interactive aged face simulator by controlling shape of face, textures and wrinkles. Moreover, based on this proposed face model generation platform, we contributed to the research area of face image processing strongly by proposing a face authentication system robust to aging effect, driver’s drowsiness estimation system, face image synthesis system with wrinkles control, lip synchronization system and face recognition system between natural and artificial smile.