Mesh denoising via iterative alpha-trimming and nonlinear diffusion of normals with automatic thresholding

被引：51

作者：

Yagou, H ^{[1
]}

Ohtake, Y ^{[1
]}

Belyaev, AG ^{[1
]}

机构：

[1] Univ Aizu, Shape Modeling Lab, Aizu Wakamatsu 9658580, Japan

来源：

COMPUTER GRAPHICS INTERNATIONAL, PROCEEDINGS | 2003年

关键词：

mesh smoothing; alpha-trimming; nonlinear diffusion; automatic thresholding; processing mesh normals;

D O I：

10.1109/CGI.2003.1214444

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper, we present two simple yet effective mesh denoising methods. The methods combine a diffusion (repeated local averaging) of mesh normals with histogram-based filtering procedures. According to our experimental results the methods outperform conventional smoothing techniques in denoising meshes with sharp features.

引用

页码：28 / 33

页数：6

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