• DocumentCode
    3232813
  • Title

    A real-time subsurface scattering rendering method for dynamic objects

  • Author

    Li, Shuai ; Hao, Ai-Min ; Wang, Zhen ; Lian, Ren-Ming

  • Author_Institution
    State Key Lab. of Virtual Reality Technol., Beihang Univ., Beijing, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    667
  • Lastpage
    672
  • Abstract
    The paper proposes a real-time subsurface scattering rendering method for dynamic objects. Subsurface scattering owned by translucent objects is a complex optical phenomenon. Since the complexity of the property description of translucent materials and their interaction with light, the pre-computing methods are usually used to render subsurface scattering of translucent objects, but these approaches either limit the objects to be non-deformable or limit the translucent materials to be homogeneous. In this paper, a new translucent material describing and decomposed light computing model is set forth, on basis of which image-space approximate computing methods for single scattering and multiple scattering are respectively proposed. The algorithm can fulfill the real-time rendering of dynamic objects by fully exploiting the capability of graphics processing units (GPU).
  • Keywords
    computer vision; rendering (computer graphics); complex optical phenomenon; decomposed light computing model; dynamic objects; graphics processing units; image-space approximate computing methods; real-time subsurface scattering rendering method; translucent objects; Biomedical optical imaging; Layout; Light scattering; Optical materials; Optical scattering; Particle scattering; Physics computing; Rendering (computer graphics); Skin; Virtual reality; GPU; dynamic scene; image space; real-time rendering; subsurface scattering; translucent material;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228341
  • Filename
    5228341