Realistic facial animation generation based on facial expression mapping

Hui Yu, Oliver Garrod, Rachael Jack, Philippe Schyns

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Facial expressions reflect internal emotional states of a character or in response to social communications. Though much effort has been taken to generate realistic facial expressions, it still remains a challenging topic due to human being’s sensitivity to subtle facial movements. In this paper, we present a method for facial animation generation, which reflects true facial muscle movements with high fidelity. An intermediate model space is introduced to transfer captured static AU peak frames based on FACS to the conformed target face. And then dynamic parameters derived using a psychophysics method is integrated to generate facial animation, which is assumed to represent natural correlation of multiple AUs. Finally, the animation sequence in the intermediate model space is mapped to the target face to produce final animation.
Original languageEnglish
Title of host publicationFifth International Conference on Graphic and Image Processing (ICGIP 2013)
EditorsYulin Wang, Xudong Jiang, Ming Yang, David Zhang, Xie Yi
PublisherSociety of Photographic Instrumentation Engineers
Publication statusPublished - 2014

Publication series

NameSPIE proceedings


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