工业构件密集点云数据与CAD模型的配准  

Registration of dense point cloud data of industrial component and CAD model

作　　者：赵显富[1] 张育锋[1] 曹爽[1] 赵轩 

机构地区：[1]南京信息工程大学,南京210044 [2]南京南信大影像技术工程有限公司,南京210061

出　　处：《测绘科学》2015年第4期112-114,共3页Science of Surveying and Mapping

基　　金：南信大影像技术工程(苏州)有限公司科研基金项目(NYF201203001);南京大吉铁塔制造有限公司科研基金项目(2012h005)

摘　　要：针对工业构件人工检测安装效率低的问题,该文提出基于三维激光扫描的点云数据与CAD模型的配准方法。该方法是预先在两模型中找出公共点进行粗配准,把粗配准后的两模型用迭代最近点(ICP)算法进行精确配准,并通过提取公共特征点进行匹配的精度检测。实验表明,通过该方法实现了点云与CAD模型的配准,有效地提高了工业逆安装效率。In view of the low efficiency of artificial detection and installation of industrial components,a registration method of 3Dlaser scanning point cloud data and CAD model was put forward in this paper.Firstly,the common points of the two models were found out for rough registration;then,precise registration of the two models by ICP algorithm was carried out;finally,common features were extracted for registration precision test.Experimental result showed that the registration of point cloud and CAD model was realized,which effectively improved the efficiency of industry inverse installation.

关 键 词：工业测量 点云数据 工业构件 数据配准 CAD模型 

分 类 号：P258[天文地球—测绘科学与技术]