• DocumentCode
    2298904
  • Title

    Data Hiding based Compression Mechanism for 3D Models

  • Author

    Li, Hui ; Agarwal, Parag ; Prabhakaran, Balakrishnan

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Dallas, Dallas, TX
  • fYear
    2007
  • fDate
    27-29 March 2007
  • Firstpage
    391
  • Lastpage
    391
  • Abstract
    Different compression methods (Jingliang Peng et al., 2005) such as progressive meshes and single refinement mesh compression exist for mesh representation for 3D models and improving them is a challenge. This paper is a step in this direction, where we show that data hiding methods can be used to significantly improve the compression achieved for such methods. 3D meshes are made up of connectivity (edge set E) and geometric (vertices set V) information. The data hiding method should provide a very high embedding rate in order to achieve a desirable compression ratio. This can be modeled mathematically, given ´V points or vertices in 3D space; for a given compression ratio we use ´AT´ points and hide rest of the connectivity and geometric information inside it. These points are termed as the encoding points and the encoded information is termed is the compressed information.
  • Keywords
    data compression; data encapsulation; 3D model; data hiding based compression mechanism; mesh representation; single refinement mesh compression; Computer science; Data encapsulation; Encoding; Equations; Image coding; Mathematical model; Quantization; Solid modeling; Streaming media; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2007. DCC '07
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2791-4
  • Type

    conf

  • DOI
    10.1109/DCC.2007.30
  • Filename
    4148792