A Facial Expression Model With Generative Albedo Texture

2016 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA)(2016)

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摘要
A facial expression model (FEM) is developed which can synthesize various face shapes and albedo textures. The face shape varies with individuals and expressions. FEM synthesizes these shape variations by using a bilinear face model built from the Face Warehouse Database. On the other hand, the generative albedo texture is directly extracted from a neutral face model the Basel Face Model. In this paper, we elaborate the model construction process and demonstrate its application in face reconstruction and expression tracking.
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关键词
facial expression model,FEM,generative albedo texture,face shape variation,bilinear face model,face warehouse database,neutral face model,basel face model,face reconstruction,expression tracking
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