Compression of 3D mesh sequences based on an adaptive 3D wavelet transform

Kian Jafari; Florent Dupont

doi:10.1117/12.838896

4 February 2010 Compression of 3D mesh sequences based on an adaptive 3D wavelet transformation

Kian Jafari, Florent Dupont

Proceedings Volume 7526, Three-Dimensional Image Processing (3DIP) and Applications; 75260F (2010) https://doi.org/10.1117/12.838896
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

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.

Citation Download Citation

Kian Jafari and Florent Dupont "Compression of 3D mesh sequences based on an adaptive 3D wavelet transformation", Proc. SPIE 7526, Three-Dimensional Image Processing (3DIP) and Applications, 75260F (4 February 2010); https://doi.org/10.1117/12.838896

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