Valette Sébastien, Prost Rémy
CREATIS, INSA Batiment B. Pascal, 69621 Villeurbanne Cedex, France.
IEEE Trans Vis Comput Graph. 2004 Mar-Apr;10(2):123-9. doi: 10.1109/TVCG.2004.1260764.
This paper proposes 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.
本文基于不规则三维网格的小波多分辨率理论,提出了一种新的三角网格有损到无损渐进压缩方案。尽管重网格化技术在几何压缩方面能获得更好的压缩率,但当希望保持处理后网格的连通性和几何形状完全不变时,这种方法可能非常有效。这种简化基于一个逆问题的求解。在每个分辨率级别上,对处理后网格的连通性和几何形状进行优化,可提高该方案的逼近质量和压缩率。我们展示了为什么该算法为三维网格的连通性和几何形状提供了一种高效的压缩方法,并通过在各种参考网格集上的实验结果进行了说明,在无损和渐进压缩方面,我们的算法都比之前发表的方法表现更好。