会议专题

Anisotropic Smoothing Algorithm for Triangular Mesh Models

An anisotropic smoothing algorithm for removing noise of triangular mesh models is proposed. First, the desirable normals of the triangles are approximated using our desirable normal computing schemes, and then each vertex is repositioned according to desirable normals of adjacent triangular faces, the desirable normals estimated by a weighted sum of normals at neighboring faces. If the face differs strongly from its neighboring face, the weight associated with that neighboring face is set small, and vice versa. We perform the anisotropic smoothing algorithm by controlling the magnitude of weight on estimation desirable normal of each triangular face. Many experimental results demonstrate the smoothing algorithm can not only efficiently remove the noise but also preserve ori ginal models sharp features and avoid oversmoothing.

anisotropic desirable normal curvature error analysis

Tian Jianlei Liu Xumin GuanYong

Information Engineering College, Capital Normal University(CNU), Beijing 100048, China

国际会议

2009 International Forum on Computer Science-Technology and Applications(2009年国际计算机科学技术与应用论坛 IFCSTA 2009)

重庆

英文

126-130

2009-12-25(万方平台首次上网日期,不代表论文的发表时间)