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从地面激光扫描仪点云数据确定球心的方法与注意事项

METHODS AND CONSIDERATIONS TO DETERMINE SPHERE CENTER FROM TERRESTRIAL LASER SCANNER POINT CLOUD DATA.

作者信息

Rachakonda Prem, Muralikrishnan Bala, Cournoyer Luc, Cheok Geraldine, Lee Vincent, Shilling Meghan, Sawyer Daniel

机构信息

Engineering Physics Division, National Institute of Standards and Technology, Gaithersburg, MD, USA.

Dimensional Metrology, Measurement Science and Standards, National Research Council of Canada, Ottawa, ON, Canada.

出版信息

Meas Sci Technol. 2017 Oct;28(10). doi: 10.1088/1361-6501/aa8011. Epub 2017 Sep 6.

Abstract

The Dimensional Metrology Group (DMG) at the National Institute of Standards and Technology (NIST) is performing research to support the development of documentary standards within ASTM E57 committee. This committee is addressing the point-to-point performance evaluation of a subclass of 3D imaging systems called Terrestrial Laser Scanners (TLSs) which are laser-based and use spherical coordinate system. This paper discusses the usage of sphere targets for this effort and methods to minimize the errors due to the determination of their centers. The key contributions of this paper include the methods to segment sphere data from TLS point cloud and the study of some of the factors that influence the determination of sphere centers.

摘要

美国国家标准与技术研究院(NIST)的尺寸计量组(DMG)正在开展研究,以支持ASTM E57委员会制定文件标准。该委员会正在针对一类称为地面激光扫描仪(TLS)的三维成像系统的点对点性能评估,这类系统基于激光并使用球坐标系。本文讨论了为此项工作使用球形靶标的情况以及将因确定其中心而产生误差降至最低的方法。本文的主要贡献包括从TLS点云分割球形数据的方法以及对一些影响球心确定因素的研究。

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Least-Squares Fitting Algorithms of the NIST Algorithm Testing System.美国国家标准与技术研究院算法测试系统的最小二乘法拟合算法
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