| 基于移动最小二乘曲面的点云拼接算法 |
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| 引用本文： | 谭志辉,黄运保,王启富,陈立平.基于移动最小二乘曲面的点云拼接算法[J].计算机辅助工程,2011,20(4):25-29. |
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| 作者姓名： | 谭志辉 黄运保 王启富 陈立平 |
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| 作者单位： | 华中科技大学国家CAD支撑软件工程技术研究中心,武汉,430074 |
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| 基金项目： | 国家自然科学基金（60804050）；教育部新教师基金（200804871128） |
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| 摘 要： | 针对现有点云拼接方法受被测零件复杂外形和测量噪声影响的问题,提出基于移动最小二乘( Moving Least-Squares,MLS)曲面的点云拼接算法.该算法利用一种极值投影方法来有效计算点到MLS曲面的对应点,并结合迭代最近点(Iterative Closest Point,ICP)算法将各个视角的点云统一到该ML...
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| 关 键 词： | 点云拼接 移动最小二乘曲面 迭代最近点 |
| 收稿时间： | 2010/12/20 0:00:00 |
| 修稿时间： | 2011/1/10 0:00:00 |
Point cloud registration algorithm based on moving least squares surface |
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| tan zhi hui,Huang Yunbao,wang qifu and chen liping.Point cloud registration algorithm based on moving least squares surface[J].Computer Aided Engineering,2011,20(4):25-29. |
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| Authors: | tan zhi hui Huang Yunbao wang qifu and chen liping |
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| Affiliation: | huazhong university of science and technology Mechanical CAD,huazhong university of science and technology Mechanical CAD,huazhong university of science and technology Mechanical CAD,huazhong university of science and technology Mechanical CAD |
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| Abstract: | Due to the fact that the existing algorithms of point cloud registration are affected by the sophisticated shape and measurement noise of components,a point cloud registration algorithm based on Moving Least-Squares(MLS) surface is proposed.Each point cloud in different view-point are registered onto MLS surface by using a peak value projection method which can obtain the corresponding point on MLS surface effectively and Iterative Closest Point(ICP) algorithm.The experimental results show that accurate and... |
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| Keywords: | point cloud registration moving least-squares surface iterative closest point |
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