• DocumentCode
    2862395
  • Title

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

  • Author

    Aoki, Yoshimitsu ; Hashimoto, Shuji

  • Author_Institution
    Dept. of Appl. Phys., Waseda Univ., Tokyo, Japan
  • fYear
    1998
  • fDate
    14-16 Apr 1998
  • Firstpage
    448
  • Lastpage
    453
  • Abstract
    The authors 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. With regard 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 the system, one can represent realistic facial animation and predict facial modifications under given conditions for muscles and the skull. Furthermore, the method is effective for analyzing the relationship between modification on the facial surface and the motion of muscles and the skull
  • Keywords
    biomechanics; computer animation; computerised tomography; muscle; skin; stereo image processing; 3D-CT data; anatomical data; anatomical knowledge; elastic dynamics simulation; facial image analysis; facial image synthesis; facial modification; facial muscles; facial surface; jaw part motion; physical facial model; realistic facial animation; skin models; skull models; spring frames; Face; Facial animation; Facial muscles; Humans; Image analysis; Image motion analysis; Nonlinear dynamical systems; Skin; Skull; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
  • Conference_Location
    Nara
  • Print_ISBN
    0-8186-8344-9
  • Type

    conf

  • DOI
    10.1109/AFGR.1998.670989
  • Filename
    670989