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Robust Mesh Smoothing

机译:鲁棒的网格平滑

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摘要

This paper proposes a vertex-estimation-based, feature-preserving smoothing technique for meshes. A robust mesh smoothing operator called mean value coordinates flow is introduced to modify mean curvature flow and make it more stable. Also the paper proposes a three-pass vertex estimation based on bilateral filtering of local neighbors which is transferred from image processing settings and a Quasi-Laplacian operation, derived from the standard Laplacian operator, is performed to increase the smoothness order of the mesh rapidly whilst denoising meshes efficiently, preventing volume shrinkage as well as preserving sharp features of the mesh. Compared with previous algorithms, the result shows it is simple, efficient and robust.
机译:本文提出了一种基于顶点估计,保留特征的网格平滑技术。引入了一种强大的网格平滑算子,称为平均值坐标流,以修改平均曲率流并使它更稳定。此外,本文还提出了一种基于局部邻居的双边滤波的三遍顶点估计,该算法是从图像处理设置转移过来的,并执行了从标准拉普拉斯算子得出的拟拉普拉斯算子,以快速增加网格的平滑度,同时高效地对网格进行降噪,防止体积缩小并保留网格的鲜明特征。与以前的算法相比,结果表明该算法简单,高效,鲁棒。

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