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Proceedings Paper

Compression of 3D mesh sequences based on an adaptive 3D wavelet transform
Author(s): Kian Jafari; Florent Dupont
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Paper Abstract

In this paper, an efficient compression technique for 3D animation sequences of irregular meshes sharing the same connectivity at each frame is presented. This work is based on our "optimized pre-coded wavelet-based method". Our main contribution in this paper is using an adaptive three-dimension wavelet transform. Wavelets are important tools widely used in signal processing to make a multi resolution representation for a given signal. In case of our 3D animation sequences, we use a 3D wavelet filtering along the temporal axis to exploit the temporal coherence. This discrete 3D temporal wavelet transform (3D TWT) results in an efficient energy concentration on the low pass temporal sub bands. The discrete 3D temporal wavelet transforms (3D TWT) is more efficient than Haar wavelet and also Mallat wavelet which were used in our "optimized pre-coded wavelet-based method". The idea of our proposed technique is simple and the resulting chain is flexible. Simulation results show that our compression method provides good compression performances compared to some other efficient compression techniques.

Paper Details

Date Published: 4 February 2010
PDF: 6 pages
Proc. SPIE 7526, Three-Dimensional Image Processing (3DIP) and Applications, 75260F (4 February 2010); doi: 10.1117/12.838896
Show Author Affiliations
Kian Jafari, LIRIS, CNRS, Univ. Lyon I (France)
Florent Dupont, LIRIS, CNRS, Univ. Lyon I (France)

Published in SPIE Proceedings Vol. 7526:
Three-Dimensional Image Processing (3DIP) and Applications
Atilla M. Baskurt, Editor(s)

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