• DocumentCode
    1817040
  • Title

    3D mesh compression using triangle fan structure

  • Author

    Sim, Jae-Young ; Kim, Chang-Su ; Lee, Sang-Uk

  • Author_Institution
    Signal Process. Lab., Seoul Nat. Univ., South Korea
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Abstract
    In this paper, we propose an efficient compression algorithm for 3D triangular mesh, which is composed of connectivity data and geometry data. Firstly, a vertex degree warping method is proposed to compress the connectivity data losslessly. While the connectivity data and the geometry data are encoded independently in most conventional algorithms, the geometrical information is exploited to efficiently compress the connectivity data in the proposed approach. Secondly, a dual parallelogram prediction technique is proposed as an effective geometry prediction scheme. By adopting the triangle fan structure, the proposed algorithm provides a smaller prediction error than the conventional algorithm. Simulation results for various 3D mesh models demonstrate that the proposed algorithm yields a higher compression ratio than the conventional algorithm
  • Keywords
    data compression; encoding; error analysis; prediction theory; solid modelling; 3D mesh compression; 3D triangular mesh; compression algorithm; compression ratio; computer graphics; connectivity data; connectivity encoding; dual parallelogram prediction technique; geometry data; geometry encoding; geometry prediction scheme; prediction error; triangle fan structure; vertex degree warping method; Algorithm design and analysis; Computational modeling; Computer science; Encoding; Geometry; Medical simulation; Prediction algorithms; Signal processing; Signal processing algorithms; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
  • Conference_Location
    Phoenix-Scottsdale, AZ
  • Print_ISBN
    0-7803-7448-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2002.1010973
  • Filename
    1010973