%0 Journal Article
%T Robust Mesh Smoothing
%A Guo-Fei Hu
%A Qun-Sheng Peng
%A ARForrest
%A <br>Guo-FeiHu
%A Qun-ShengPeng
%A A.R.Forrest
%J 计算机科学技术学报
%D 2004
%I 
%X 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.
%K mesh smoothing
%K mean value coordinates flow
%K robust vertex estimation
%K feature-preserving<br>网状滤波
%K 坐标流平均值
%K 顶点估计
%K 图像处理
%K 特征保留
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=D07D7B0CA694CF24AB89D640AD9997AB&yid=D0E58B75BFD8E51C&vid=2A8D03AD8076A2E3&iid=E158A972A605785F&sid=2B25C5E62F83A049&eid=2B25C5E62F83A049&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=5&reference_num=17