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多视数据拼合的三基准点精确选取技术研究 被引量:5

Research of the precise choice of three fiducial points on multi-view point cloud merging
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摘要 在逆向工程中,往往需要将从各个不同视角测得的点云数据进行多视定位,统一到一个全局坐标系下,并经过数据融合使之能够便于后续的模型重建。在已提出的多种拼合方法中,基于三个基准点的定位方法是其中的一种简单实用的对齐方法。通过研究三点定位算法,模型数据的对齐精度取决于所选取的三个基准点的测量精度。采用求取参考点顶点质心来代替原有基准点的方法,有效减小了拼合误差并提出了优化后的算法。 In reverse engineering,in order to meet the requirements for model reconstruction,it is often necessary to locate and merge the different-view-measured cloud data in a global coordinate system. There are many merging methods having been proposed,the method of three fiducial points is one of them. According to studying the three fiducial points location algorithm,the registration precision of model data depends on the precision of three fiducial points which are selected. It introduces a new method which us- es the centroid of apexes of the reference point instead of the fomer fiducial points, the effectiveness of the methods is validated with experimental results and a revised algorithm is presented.
出处 《机械设计与制造》 北大核心 2010年第1期201-203,共3页 Machinery Design & Manufacture
基金 河南省杰出人才创新基金(074200510017)
关键词 逆向工程 数据拼合 基准点 Reverse engineering Data merging Fiducial point
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参考文献6

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