计算机与数字工程Issue(9)：1659-1661,1673,4.DOI:10.3969/j.issn1672-9722.2015.09.026
基于法向量和曲率的三维边缘检测方法
A 3D Edge Detection Method Based on the Normal Vector and Curvature
万松 1王卓1
作者信息
- 1. 华中科技大学自动化学院 武汉 430074
- 折叠
摘要
Abstract
In order to detect the heading window in the 3D point cloud of thin seam obtained by a 3D laser scanner ,a 3D edge detection method that utilize a partial differential properties of a 3D point cloud data utilization ,including the normal vector and curvature ,is introduced .Firstly ,the normal vector and curvature at each point are calculated using the least squares method ;Then statistical analysis on normal vector and filter candidate edge points ,and finally using region growing algorithm divides the candidate edge points ,in order to determine whether a point is an edge point .Experiments show that this method can quickly and efficiently detect the edge points .关键词
法向量/曲率/区域增长/边缘检测Key words
normal vector/curvature/region growing/edge detection分类
信息技术与安全科学引用本文复制引用
万松,王卓..基于法向量和曲率的三维边缘检测方法[J].计算机与数字工程,2015,(9):1659-1661,1673,4.
