• DocumentCode
    2619947
  • Title

    Anatomy-Based Modeling, Muscle-Based Animating and Math-Based Representing of Human Eyes

  • Author

    Zeng, Dan ; Zhang, Zhijiang ; Cheng, Yimin ; Huang, Sujuan

  • Author_Institution
    Dept. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
  • Volume
    7
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    48
  • Lastpage
    52
  • Abstract
    This paper presents a novel 3D muscle-controlled eye (MCE) model and a new math-based representation of eye movements and expressions. According to the differences between external eye area including eyelids, eyebrows, forehead and internal eyeball in anatomical and physical characteristics, MCE is reconstructed as external flexible model and internal rigid model. In consideration of volume invariance in deformation, we add thickness direction to contraction direction defined by Waters´ muscle model. Based on MCE, any continuous movement or expression of arbitrary eyes can be described with a group of time-varying curves of normalized muscle contraction, called multi-curve spectrum (MCS). This allows significant data reduction and applicability improvement when representing and animating the same movement of different eyes.
  • Keywords
    computational geometry; computer animation; eye; mesh generation; muscle; solid modelling; 3D muscle-controlled eye model; MCE reconstruction; Waters muscle model; anatomy-based eye modeling; data reduction; external flexible model; eye expression; eye muscle-based animation; internal rigid model; math-based human eye movement representation; multicurve spectrum; normalized muscle contraction; time-varying curve; volume invariance; Animation; Computer science; Eyes; Humans; multi-curve spectrum; muscle-controlled eye model; normalized muscle contraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.824
  • Filename
    5170278