Existing 3-D dynamic mesh compression methods directly explore temporal redundancy by predictive coding and the coded bitstreams are sensitive to transmission errors. In this paper, an efficient and error-resilient compression paradigm based on Wyner-Ziv coding (WZC) is proposed. We first apply an anisotropic wavelet transform (AWT) on each frame to explore their spatial redundancy. Then the wavelet coeffcients of every frame are compressed by a Wyner-Ziv codec which is composed of a nested scalar quantizer and a turbo codes based Slepian-Wolf codec. Benefiting from the inherent robustness of WZC, the proposed coding scheme can alleviates the problem of error-propagation associated with conventional predictive coding scheme. Furthermore, based on wavelet transform, our method can be extended to support progressive coding which is desirable for the streaming of 3D meshes. Experimental results show that our scheme is competitive with other compression methods in compression performance. Moreover, our method is more robust when transmission error occurs.

Date Published: 28 January 2008
PDF: 12 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68221V (28 January 2008); doi: 10.1117/12.768814

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)