%0 Journal Article
%T Research on Point Cloud Data Segmentation in Surface Reconstruction<br>曲面重构中点云数据的区域分割研究
%A DONG Ming-xiao
%A ZHENG Kang-ping
%A YAO Bin
%A <br>董明晓
%A 郑康平
%A 姚斌
%J 中国图象图形学报
%D 2005
%I 
%X In surface reconstruction, the actual surface model generally contains several surface geometrical features. Namely it consists of multi-surface patches. If directly fitting surface with these point cloud data obtained from a laser scanner, the surface model presentation and the surface fitting are hard to do. Even it is difficult to use a simple formula to describe the surface model. In this paper, a method for region segmentation algorithm according to the curvature variation of data points is proposed. The operational principle is to calculate the curvature values to data points on each scanning line. The points with bigger curvature variation are picked up as boundary points. After borderline are determined, point cloud data are divided into several regions. Each region has simple geometrical features, and can be described in simple mathematical model, and then a single surface is reconstructal. This algorithm is simple, and can be easily understood and programmed. Efficiency of surface model reconstruction is enhanced.
%K surface reconstruction
%K point cloud data
%K data segmentation
%K curvature<br>曲面重构
%K 区域分割
%K 点云数据
%K 曲面模型
%K 几何特征
%K 数学表达式
%K 算法处理
%K 数学表示
%K 分割方法
%K 边界确定
%K 数据分割
%K 数学模型
%K 数据点
%K 激光法
%K 扫描线
%K 边界点
%K 可重构
%K 拟合
%K 率值
%K 曲率
%K 编程
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=662EA4B40E6EA276&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=94C357A881DFC066&sid=E406B4E9A1BA9D8C&eid=C2053D4E59904B8A&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=8&reference_num=12