Lattice Vector Quantization For Normal Mesh Geometry Coding

Multiresolution representation of surface meshes is known to be a powerful tool for modeling complex 3D objects. Among the existing schemes, normal meshes have proven to be very attractive for multiresolution and wavelet coding. However, most of the coding methods proposed in the literature are based on scalar quantization despite that vector quantization is known to be more efficient. In this work we propose a novel compression scheme based on a lattice vector quantizer which exploits the correlation inside each geometry subband in a multiresolution framework. Furthermore, we developed a model-based bit allocation algorithm able to work whatever the quantizer is and especially with vector quantization. The proposed scheme allows an improvement up to 1 dB compared to the best state-of-the-art method