• DocumentCode
    3487866
  • Title

    Multiresolution decomposition for triangular mesh geometry coding based on structuring surrounding vertices

  • Author

    Watanabe, Shuji ; Kawanaka, Akira

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    3505
  • Lastpage
    3508
  • Abstract
    A novel coding method using multiresolution decomposition for triangular mesh is proposed. We have proposed surrounding vertices structuring on a 2-D plane to obtain 2-D structured geometry data. In this paper, non-separable component decomposition is proposed to decompose the structured geometry data in consideration of correlations among neighboring vertices. The structured data are decomposed into four components depending on whether each vertex was located at even or odd positions along the horizontal and vertical axes. And a prediction and update are performed. In the prediction process the predicted value is obtained from the non-processed vertices neighboring to the target vertex in the 3-D space. By repeating the decomposition process for the update component, octave-decomposed coefficients are obtained. The vector SFQ is introduced to remove redundancies among the coefficients at similar positions in different resolution levels. Experiments showed that the proposed method gave better coding performances comparing to conventional coding schemes.
  • Keywords
    computer graphics; geometric codes; image coding; image resolution; 2D plane; 2D structured geometry data; 3D space; computer graphics; multiresolution decomposition; nonseparable component decomposition; octave-decomposed coefficients; prediction process; structuring surrounding vertices; triangular mesh geometry coding; Application software; Computer applications; Computer graphics; Design automation; Geometry; Image coding; Image reconstruction; Motion pictures; Quantization; Wavelet transforms; 2-D structuring; Geometry data coding; Multiresolution decomposition; Polygonal mesh; Space-frequency quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414065
  • Filename
    5414065