摘要
对古建筑激光扫描点云进行分割、识别,并利用Hough变换和最小二乘法从点云中提取直线和圆,取得了较满意的结果。对两种算法的提取效果进行了比较。
Terrestrial laser scanner(TLS) is a kind of new sensors which has been developed in recent years.In order to construct the objects using the point clouds,one of the problems has to be tackled first is feature extraction.In order to extract linear and circular features of ancient architecture,we segment point clouds and identify these segments according to their geometric features and physical properties of targeting objects.The Hough transform and the least squares method are used to extract lines and circles from laser point clouds of ancient architecture.The effectiveness of these two kinds of algorithms is compared and tested with real data.Several experimental results are presented as well.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2011年第6期674-677,682,共5页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2006AA12Z151)
国家自然科学基金资助项目(40871211)
关键词
特征提取
HOUGH变换
最小二乘法
激光点云
古建筑
feature extraction
Hough transform
least squares method
point cloud
historical building