A robust high-resolution details preserving denoising algorithm for meshes

查看全文 作　　者：FAN [1]HanQi;PENG [2]QunSheng;YU [3]YiZhou

机构地区：[1]College of Information Engineering, North China University of Technology;[2]State Key Laboratory of CAD&CG, Zhejiang University;[3]Department of Computer Science, The University of HongKong

出　　处：《Science China(Information Sciences)》索引2013年第56卷第9期,共12页

基　　金：supported by National Natural Science Foundation of China (Grant No. 61202229);Beijing Natural Science Foundation (Grant No. 4132018) 摘　　要：Finely captured meshes often contain details like sharp edges, corners and shallow features. In order to improve the quality of these meshes, we present a robust and efficient high-resolution details-preserving mesh denoising algorithm. Our method consists of three stages. For each triangular face and its face neighborhood, we improve a robust density-based clustering method and apply it to the face neighborhood to extract a subset of neighbors which belong to the same cluster as the central face. And then, we filter the central face normal iteratively within this subset to remove noise. Because the faces within the extracted subset are not distributed across high-resolution details, our normal filtering can preserve such details as much as possible. Finally, we update the vertex positions to be consistent with the filtered face normals using a least-squares formulation. Experiments on various types of meshes indicate that our method has advantages over previous surface denoising methods. 关键词：高分辨率去噪算法网格聚类方法基于密度消除噪声最小二乘去噪方法

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A robust high-resolution details preserving denoising algorithm for meshes

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