Applied Mathematics & Information Sciences

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We propose an efficient scheme for compressing mesh sequence with different connectivities using a thin-plate spline (TPS) based multi-reference prediction coding. The scheme combines the single-reference prediction with the P-structure prediction, and predicts each frame of the sequence using the TPS transformation. Compared with traditional compression scheme, our scheme imposes the TPS transformation in the prediction coding which utilizes both spatial and temporal correlations of the mesh sequence with different connectivities. We test our scheme for 3D facial meshes and experimental results show that our scheme produces both accurate reconstruction meshes and high compression efficiency.

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