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

Huang Xiaoping; Xiong Youlun

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

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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 multi-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.

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《计算机辅助绘图．设计与制造：英文版》 |2001年第2期|46-52|共7页
作者
Huang Xiaoping; Xiong Youlun;
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作者单位

School of Mechanical Science and Engineering Huazhong University of Science and Technology, Wuhan 430074, China;

School of Mechanical Science and Engineering Huazhong University of Science and Technology, Wuhan 430074, China;

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原文格式 PDF
正文语种 chi
中图分类计算机的应用;
关键词
reverse engineering; iterative closest point algorithm; registration;

机译：逆向工程;迭代最近点算法;注册;

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

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