• DocumentCode
    398636
  • Title

    An efficient coding algorithm for color and normal data of three-dimensional mesh models

  • Author

    Ahn, Jeong Hwan ; Kim, Chang Su ; Yo-SungHo

  • Author_Institution
    Samsung Adv. Inst. of Technol., Suwon, South Korea
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    Three-dimensional (3D) mesh models have attribute data, such as colors, normal vectors, and texture coordinates to render or shade the surface of the mesh. Although several coding schemes have been developed to represent the topology and geometry information of the 3D mesh, coding of the attribute data has received less attention. In this paper, we propose a new predictive coding scheme for colors and normal vectors of the 3D mesh model, where we predict colors and normals based on several ancestors along the vertex ordering. In order to encode the color information, we define a mapping table that specifies how colors are mapped into other vertices. The mapping table can represent frequently occurring color patterns efficiently. For normal vectors, we also propose an average predictor and the 6-4 subdivision quantizer in the spherical coordinate system. The proposed scheme has demonstrated good coding efficiency for various VRML test data.
  • Keywords
    image coding; image colour analysis; linear predictive coding; virtual reality languages; VRML test data; coding algorithm; coding efficiency; coding scheme; color data; color information encoding; color pattern; geometry information; mapping table; mesh model; mesh surface; mesh vector; predictive coding scheme; predictor; quantizer; Bandwidth; Bit rate; Data visualization; Geometry; Humidity; Predictive models; Solid modeling; Surface texture; Testing; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1247080
  • Filename
    1247080