摘要
三维激光扫描技术成为了测绘领域的重要手段之一,文中利用三维激光扫描仪构建三维模型,着重研究点云数据的两种配准:主方向贴合法和最近点迭代算法(ICP算法)。通过对某单位大门进行数据采集,并且基于Matlab平台编写算法,并对算法以点云数据进行研究,得出配准结果以及配准精度。
Three-dimensional laser scanning technology had become one of the important means in the field of surveying and mapping. In this paper, three-dimensional laser scanner was used to build a three-dimensional model, focusing on two kinds of registration of point cloud data: the main direction sticking method and the nearest point iteration algorithm(ICP algorithm). Through the data collection of the gate of a certain unit, based on the platform of matlab, the algorithm was compiled and studied, and the registration results and accuracy were obtained.
作者
李红彦
王韩波
Li Hongyan;Wang Hanbo(China Institute of Geotechnical Investigation and Surveying Limited,Beijing 100007,China)
出处
《矿山测量》
2020年第2期74-78,共5页
Mine Surveying
关键词
三维激光扫描仪
点云数据配准
粗配准
精配准
ICP算法
three-dimensional laser scanner
point cloud data registration
rough registration
accurate registration
ICP algorithm
作者简介
李红彦(1978-)男,河南邓州人,本科学历,工程师,主要从事地理信息系统,三维激光技术研究,智慧城市数据建设。
