Weighted bit allocation for multiresolution 3D mesh geometry compression

Frederic Payan; Marc Antonini

doi:10.1117/12.503099

23 June 2003 Weighted bit allocation for multiresolution 3D mesh geometry compression

Frederic Payan, Marc Antonini

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503099
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

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.

Citation Download Citation

Frederic Payan and Marc Antonini "Weighted bit allocation for multiresolution 3D mesh geometry compression", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503099

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