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Weighted bit allocation for multiresolution 3D mesh geometry compression

机译:多分辨率3D网格几何压缩的加权位分配

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In this paper, we propose an efficient geometry cmpression method well-adapted to densely sampled semi-regular triangular meshes. Based on multiresolution analysis performed by wavelet transform, it includes a low complexity model-based bit allocation across wavelet subbands. The main contribution of this paper is the resolution of the sub-optimal bit allocation problem related to biorthogonal wavelet coders for 3D triangular meshes. Indeed, using biorthogonal filters weights the MSE distortion of the reconstructed quantized mesh. These weights can be computed from the wavelet filter bank. This permits to obtain a simple but efficient surface adapted distortion criterion for 3D wavelet coefficient coordinates, and to highly improve the perfomances of MSE-based codecs.
机译:在本文中,我们提出了一种适用于密集采样的半规则三角形网格的有效几何压缩方法。基于小波变换执行的多分辨率分析,它包括基于低复杂度模型的小波子带上的位分配。本文的主要贡献是解决了与用于3D三角网格的双正交小波编码器有关的次优比特分配问题。确实,使用双正交滤波器对重建的量化网格的MSE失真进行加权。这些权重可以从小波滤波器组中计算出来。这允许获得用于3D小波系数坐标的简单但有效的表面适应失真准则,并高度提高基于MSE的编解码器的性能。

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