Physical facial model based on 3D-CT data for facial image analysis and synthesis

Yoshimitsu Aoki, Shuji Hashimoto

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

    10 Citations (Scopus)

    Abstract

    In this paper, we have proposed a physics-based facial model based on anatomical data and knowledge, which has a three dimensional structure for facial image analysis and synthesis. The skin and the skull models are constructed from 3D-CT scanned data, and the facial muscles were placed between them just like as a real human face. In regards to the skin and muscle models, spring frames are used to simulate the elastic dynamics of a real facial skin and muscles. Facial Modification can be flexibly realized by two factors: the expansion and contraction of non-linear springs which simulate a skin and muscles, and the motion of the jaw part of the skull. Using our system, we can represent realistic facial animation and predict facial modifications under given conditions for muscles and the skull. Furthermore, our method is effective for analyzing relationship between modification on the facial surface and the motion of muscles and the skull.

    Original languageEnglish
    Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
    PublisherIEEE Computer Society
    Pages448-453
    Number of pages6
    ISBN (Print)0818683449, 9780818683442
    DOIs
    Publication statusPublished - 1998
    Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara
    Duration: 1998 Apr 141998 Apr 16

    Other

    Other3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
    CityNara
    Period98/4/1498/4/16

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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  • Cite this

    Aoki, Y., & Hashimoto, S. (1998). Physical facial model based on 3D-CT data for facial image analysis and synthesis. In Proceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 (pp. 448-453). [670989] IEEE Computer Society. https://doi.org/10.1109/AFGR.1998.670989