A Cloud-Point Smoothing Method Based on Surface Feature

摘要：

A scattered cloud-point smoothing method based on surface feature is put forth by analyzing the surface local feature. The feature curvature proposed in this paper is a more accuracy parameter to present the contour of a surface.The method consists of three steps.Firstly,the normal of a point is estimated using covariance analysis.Secondly,the local surface is fitted through quadratic surface,by which the principal curvature and feature curvature DUH_estimated.Lastly,the cloud-point data is smoothed using an anisotropic smoothing equation based on feature curvature.This method preserves model feature while decreasing noise.The efficiency of the proposed algorithm LV proved by experiments.

作者: Lianwei Zhang Huijuan Zhong Xiaolin Liu Wei Chen Hangen He

作者单位: College of Mechatronics Engineering and Automation National University of Defence Technology Changsha,Hunan,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1677-1680

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）