Multi-View Point Clouds Registration without Feature Extraction for Use in Reverse Engineering of CAD Models

作     者：Huang Xiaoping,Xiong Youlun School of Mechanical Science and Engineering Huazhong University of Science and Technology, Wuhan 430074, China Reverse Engineering 

作者机构：School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China 

出 版 物：《Computer Aided Drafting,Design and Manufacturing》 (计算机辅助绘图设计与制造（英文版）)

年 卷 期：2001年第11卷第2期

页      面：46-52页

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 08[工学] 080203[工学-机械设计及理论] 081304[工学-建筑技术科学] 0802[工学-机械工程] 0813[工学-建筑学] 080201[工学-机械制造及其自动化] 

基　　金：the National Natural Science Foundation of China (59990470) and the NationalOutstanding Young Scientist Foundation of China ( 

主　　题：reverse engineering iterative closest point algorithm registration. 

摘      要：For reverse engineering a CAD model, it is necessary to integrate measured points from several views of an object into a common reference frame. Given a rough initial alignment of point cloud in different views with point-normal method, further refinement is achieved by using an improved iterative closest point (ICP) algorithm. Compared with other methods used for mult-view registration, this approach is automatic because no geometric feature, such as line, plane or sphere needs to be extracted from the original point cloud manually. A good initial alignment can be acquired automatically and the registration accuracy and efficiency is proven better than the normal point-point ICP algorithm both experimentally and theoretically.