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Enhanced waters 2D muscle model for facial expression generation

Kumar, Dinesh and Sharma, Dharmendra P. (2019) Enhanced waters 2D muscle model for facial expression generation. [Conference Proceedings]

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    Abstract

    In this paper we present an improved Waters facial model used as an avatar for work published in (Kumar and Vanualailai, 2016), which described a Facial Animation System driven by the Facial Action Coding System (FACS) in a low-bandwidth video streaming setting. FACS defines 32 single Action Units (AUs) which are generated by an underlying muscle action that interact in different ways to create facial expressions. Because FACS AU describes atomic facial distortions using facial muscles, a face model that can allow AU mappings to be applied directly on the respective muscles is desirable. Hence for this task we choose the Waters anatomy-based face model due to its simplicity and implementation of pseudo muscles. However Waters face model is limited in its ability to create realistic expressions mainly the lack of a function to represent sheet muscles, unrealistic jaw rotation function and improper implementation of sphincter muscles. Therefore in this work we provide enhancements to the Waters facial model by improving its UI, adding sheet muscles, providing an alternative implementation to the jaw rotation function, presenting a new sphincter muscle model that can be used around the eyes and changes to operation of the sphincter muscle used around the mouth.

    Item Type: Conference Proceedings
    Additional Information: doi={10.5220/0007379302620269}
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
    Depositing User: Dinesh Kumar
    Date Deposited: 09 Dec 2020 16:16
    Last Modified: 09 Dec 2020 16:16
    URI: http://repository.usp.ac.fj/id/eprint/12417
    UNSPECIFIED

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