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.