• DocumentCode
    3634922
  • Title

    Improved quality multiple description 3D mesh coding with optimal filtering

  • Author

    Beg?m Demir;Sarp Ert?rk;O?uzhan Urhan

  • Author_Institution
    Laboratory of Image and Signal Processing (KULIS), Electronic and Telecomm. Eng. Dept., Veziroglu, Campus, 41040 Kocaeli, Turkey
  • fYear
    2009
  • Firstpage
    3541
  • Lastpage
    3544
  • Abstract
    A wavelet subdivision surfaces based multiple description 3D model coding with optimal reconstruction filtering approach is proposed in this paper to transmit 3D models over mediums with possible packet loss with higher quality. The proposed method is based on the wavelet subdivision surfaces strategy for 3D model coding and introduces optimal reconstruction filtering. Initially, remeshing is performed for any 3D model to obtain a semi-regular mesh structure which includes an irregular base mesh and regular wavelet (detail) coefficients of finer levels. Next, multiple descriptions of detail coefficients are obtained using Multiple Description Scalar Quantization (MDSQ) to be encoded using SPIHT. In the proposed approach, reconstructed multiple descriptions are applied to optimal filters, that are obtained at the encoder so as to reduce the reconstruction error between the original model and encoded model. Each transmitted description therefore includes encoded 3D data as well as optimal reconstruction filter coefficients. Experimental results show that the optimal reconstruction filtering approach reduces the distortion of standard MDSQ based 3D model coding.
  • Keywords
    "Image reconstruction","Filtering","Wavelet coefficients","Geometry","Image coding","Surface waves","Surface reconstruction","Filters","Transform coding","Animation"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    2381-8549
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414084
  • Filename
    5414084