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Dynamic Facial Expression Analysis and Synthesis With MPEG-4 Facial Animation Parameters
IEEE transactions on circuits and systems for video technology (Print)
This paper describes a probabilistic framework for faithful reproduction of dynamic facial expressions on a synthetic face model with MPEG-4 facial animation parameters (FAPs) while achieving very low bitrate in data transmission. The framework consists of a coupled Bayesian network (BN) to unify the facial expression analysis and synthesis into one coherent structure. At the analysis end, we cast the FAPs and facial action coding system (FACS) into a dynamic Bayesian network (DBN) to accountdoi:10.1109/tcsvt.2008.928887 fatcat:apc3kwatnrezzjngoapp6wceue