• DocumentCode
    249879
  • Title

    A backward wavelet remesher for level of detail control and scalable coding

  • Author

    Hao-Chiang Shao ; Wen-Liang Hwang ; Yung-Chang Chen

  • Author_Institution
    Inst. of Inf. Sci., Taipei, Taiwan
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    5596
  • Lastpage
    5600
  • Abstract
    Multi-resolution and wavelet analysis have generated considerable interest in the field of mesh surface representation. In this paper, we propose a backward, coarse-to-fine framework that derives a semi-regular approximation of an original mesh, and demonstrate its effectiveness on level-of-detail and scalable coding applications. The framework is flexible and simple because the position of a new vertex at a finer resolution can be derived in a closed form, based on the affine combination of a subdivision scheme, the original mesh, and “new” information about the wavelet coefficients. We report the results of experiments on both applications; and also compare the scalable coding results with those of other methods.
  • Keywords
    affine transforms; approximation theory; image coding; image representation; image resolution; level control; wavelet transforms; affine combination; backward coarse-to-fine framework; backward wavelet remesher analysis; level of detail control; mesh surface representation; multiresolution analysis; scalable coding application; semiregular approximation; subdivision scheme; Encoding; Interpolation; Surface waves; Vectors; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026132
  • Filename
    7026132