Wyner-Ziv coding of 3D dynamic meshes
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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 coefficients 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. 2008 SPIE-IS&T.