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一种基于法矢修正的散乱点云数据平滑处理算法
引用本文:黄淼,马丽,高敬礼,张海朝.一种基于法矢修正的散乱点云数据平滑处理算法[J].计算机时代,2009(11):45-48.
作者姓名:黄淼  马丽  高敬礼  张海朝
作者单位:1. 平顶山学院软件学院,河南,平顶山,467000
2. 河南科技大学电子信息工程学院
基金项目:国家自然科学基金,河南省杰出青年基金,洛阳市科技攻关计划项目 
摘    要:在分析现有滤波方法局限性的基础上,提出了一种基于测量点法矢修正的散乱点云数据平滑处理方法,通过对特征区域和非特征区域采用不同的法矢修正方法,使光顺后的点云不但达到了非常光滑的效果,而且保持了点云的形状和特征。大量实例验证了该算法的可行性。

关 键 词:点云  曲面重建  法矢  光顺

A Smooth Processing Algorithm Based on Normal Vector Amended for Scattered Point Cloud Data
HUANG Miao,MA Li,GAO Jing-li,ZHANG Hai-chao.A Smooth Processing Algorithm Based on Normal Vector Amended for Scattered Point Cloud Data[J].Computer Era,2009(11):45-48.
Authors:HUANG Miao  MA Li  GAO Jing-li  ZHANG Hai-chao
Affiliation:HUANG Miao, MA Li, GAO Jing-li, ZHANG Hai-chao (1. The Soware College, Pingdingshan University, Pingdingshan, Henan 467000, China; 2. College of Electronic Information Engineering, Henan University of Science and Technology)
Abstract:On the basis of analyzing the limitations of existing smoothing method,a smooth processing algorithm based on measuring point normal vector amended for scattered point cloud data is presented.By using different methods of normal vector amended on feature regions and non-feature regions,the smoothed point clouds not only achieve a very smooth effect,but also maintain their shapes and characteristics.Plenty of examples verify the feasibility of the algorithm.
Keywords:point clouds  surface reconstruction  normal vector  smooth
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