文章基本信息

标题：Robust Algorithm for Fitting Sphere to 3D Point Clouds in Terrestrial Laser Scanning
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作者：ZHOU Shijian ; GUAN Yunlan ; ZHAN Xinwu 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B5
页码：519-522
出版社：Copernicus Publications
摘要：Sphere target is one of the most important tools in terrestrial laser scanning. Different point clouds obtained form different views can be transformed into the same coordinate system frame by using it, where the determination of sphere centre is a key. Because the traditional estimation method---least-squares method does not have the ability to resist outliers, and results in poor estimated parameter, a new method to determine sphere centre is presented. The method is based on M-estimation, and the estimated parameters are not affected by outliers of point clouds. Experiments using simulation data and real data are conducted. Results show that the proposed method can overcome the effect of outliers, and improve the accuracy of sphere centre coordinates. Compared with least square estimation, it has the advantage of robust.
关键词：Laser scanning; Fitting; Terrestrial photogrammetry; Adjustment; Process modeling; Point cloud; Robust estimation