• DocumentCode
    2839119
  • Title

    Three-dimensional reconstruction of face model based on single photo

  • Author

    Lin, Wan ; Weijun, Hu ; Rui, Chen ; Xiaoxi, Wang

  • Author_Institution
    Software Sch., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Creating a realistic three-dimensional human face model has been one of the most difficult problems in the fields of computer graphics and computer vision. A method witch to build three-dimensional human face model basic on a photo of two-dimensional single front face is proposed in this paper. Firstly, facial organ distribution is identified from the photo by face recognition. After that, the standard three-dimensional human face model is modified to match the face on the photo. At the same time, feature triangle mesh which consists thousands of feature points would be created by triangular decomposition of the photo. The value of X and Y coordinates of those feature points are identified. In the next step, the feature points are substituted into the modified face model and the value of Z coordinate of each feature points will be calculated. Finally, the 3D human face model is built by all those feature points. And the created 3D face model will be rendered and shown by OpenGL. The method we discussed is simple and rapid. The input is just a single frontal photo. It´s proved that this method has good results.
  • Keywords
    computer graphics; computer vision; face recognition; image reconstruction; computer graphics; computer vision; face model; face recognition; facial organ distribution; human face; single photo; three-dimensional reconstruction; Computational modeling; Face; Pixel; Rendering (computer graphics); Solid modeling; face model; face recognition; feature points; single frontal photo; triangular decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620719
  • Filename
    5620719