Multi-View Point Clouds Registration without Feature Extraction for Use in Reverse Engineering of CAD Models |
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Authors: | Huang Xiaoping Xiong Youlun School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Reverse Engineering |
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Affiliation: | Huang Xiaoping,Xiong Youlun School of Mechanical Science and Engineering Huazhong University of Science and Technology,Wuhan 430074,China Reverse Engineering |
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Abstract: | 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. |
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Keywords: | reverse engineering iterative closest point algorithm registration |
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