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Wavelet-based progressive compression scheme for triangle meshes: wavemesh

机译:基于小波的三角形网格渐进压缩方案:wavemesh

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We propose a new lossy to lossless progressive compression scheme for triangular meshes, based on a wavelet multiresolution theory for irregular 3D meshes. Although remeshing techniques obtain better compression ratios for geometric compression, this approach can be very effective when one wants to keep the connectivity and geometry of the processed mesh completely unchanged. The simplification is based on the solving of an inverse problem. Optimization of both the connectivity and geometry of the processed mesh improves the approximation quality and the compression ratio of the scheme at each resolution level. We show why this algorithm provides an efficient means of compression for both connectivity and geometry of 3D meshes and it is illustrated by experimental results on various sets of reference meshes, where our algorithm performs better than previously published approaches for both lossless and progressive compression.
机译:我们基于不规则3D网格的小波多分辨率理论,为三角形网格提出了一种新的有损至无损渐进压缩方案。尽管重新网格化技术可为几何压缩获得更好的压缩率,但是当希望保持处理过的网格的连通性和几何形状完全不变时,此方法可能非常有效。简化基于反问题的解决。加工网格的连通性和几何形状的优化可提高方案在每个分辨率级别的近似质量和压缩率。我们展示了为什么该算法为3D网格的连通性和几何形状提供了一种有效的压缩方法,并且在各种参考网格集上的实验结果对此进行了说明,其中我们的算法在无损压缩和渐进压缩方面都比以前发布的方法表现更好。

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