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Proceedings Paper

Weighted bit allocation for multiresolution 3D mesh geometry compression
Author(s): Frederic Payan; Marc Antonini
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Paper Abstract

In this paper, we propose an efficient geometry compression method well-adapted to densely sampled semi-regular triangular mesh. Based on multiresolution analysis performed by wavelet transform, it includes a low complexity model-based bit allocation across wavelet subbands. The main contribution of this paper is the resolution of the sub-optimal bit allocation problem related to biorthogonal wavelet coders for 3D triangular meshes. Indeed, using biorthogonal filters weights the MSE distortion of the reconstructed quantized mesh. These weights can be computed from the wavelet filter bank. This permits to obtain a simple but efficient surface adapted distortion criterion for 3D wavelet coefficient coordinates, and to highly improve the perfomances of MSE-based codecs.

Paper Details

Date Published: 23 June 2003
PDF: 10 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503099
Show Author Affiliations
Frederic Payan, I3S Lab.-CNRS (France)
Univ. de Nice Sophia-Antipolis (France)
Marc Antonini, I3S Lab.-CNRS (France)
Univ. de Nice Sophia-Antipolis (France)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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