摘要： 提出了一种保特征的网格光顺算法，能够在快速地去除噪声的同时，保持网格模型的结构特征。该算法对网格中每个三角形的法矢进行光顺，同时求得顶点的法矢。根据当前点到邻接点的距离以及当前点的法矢与邻接点的法矢的夹角对顶点移动的方向进行调整，使顶点分布更加均匀。利用高斯函数求得光顺权值。实验结果证明，该算法能够有效地保持网格模型的结构特征，同时具有迭代次数少、体积收缩小、执行效率高的特点。

关键词: 网格光顺, 高斯函数, 特征保持

Abstract: This paper proposes an efficient mesh smoothing method. The method can smooth mesh fast, while preserving features. It smoothes the normal of every triangle in the mesh and ges the normal of every point in the mesh after normal smoothing, improves the moving direction of the vertices according to the distances between current vertex and adjacent vertices, and the angles between the normal of current vertex and of adjacent vertices, gets the weight of each vertex in the iteration using Gaussian. It provides a series of examples to demonstrate the effectiveness of the method presented with less iteration and volume shrinkage.

Key words: mesh smoothing, Gaussian kernel, feature preserving

中图分类号: 

• TP37