从3D点数据中恢复球体

C. Witzgall, G. Cheok, Anthony J. Kearsley
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引用次数: 9

摘要

美国国家标准与技术研究所参与开发3D成像系统性能评估的标准协议,其中包括激光扫描仪和LADARs(激光探测和测距)。雷达是一种光学设备,通常通过扫描场景产生大量的3D“点云”。在许多应用程序中,已经指定了场景中存在的对象的模型,并且任务相当于从扫描数据中恢复该对象。具体地说,将讨论从点云中恢复球体的问题,旨在估计其中心的位置,如果事先不知道,则估计其半径。例如,该信息可用于将LADAR数据“注册”到指定的坐标框架。报道了两个基于最佳拟合数据点的球体回收实验。将基于正交最小二乘的球面拟合方法与一种新的方法进行了比较,该方法将扫描方向上产生的距离误差的平方最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recovering Spheres from 3D Point Data
The National Institute of Standards and Technology is involved in developing standard protocols for the performance evaluation of 3D imaging systems, which include laser scanners and LADARs (laser detection and ranging). A LADAR is an optical device that typically yields voluminous 3D "point clouds" by scanning scenes. In many applications, a model of an object which is present in the scene has been specified, and the task amounts to recovering this object from scan data. Specifically, the recovery of spheres from point clouds will be addressed, aiming at estimating the location of their centers and, if not known beforehand, their radii. This information can be used, for instance, to "register "LADAR data to a specified coordinate frame. Two experiments recovering spheres based on best-fitting data points are reported. Sphere fitting based on orthogonal least squares is compared to a novel approach, minimizing instead the squares of range errors incurred in the direction of the scan.
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