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Sphere Target Fitting of Point Cloud Data Based on TLS

机译:基于TLS的点云数据的球形目标拟合

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Sphere target is an important toolbox in terrestrial laser scanning. With the sphere target, multiple point clouds data obtained from different views can be transformed into the same coordinate frame. Determination of the sphere target center is key to complete the task mentioned above. A usual approach to determine the coordinates of the center of the sphere is the Less Squares (LS) method. In this paper, a new method using Total Least Squares (TLS) to determine the center of the sphere target is investigated. For the new method, a special model is assumed that the design matrix contains the linearization, and errors in both the residuals vector and the design matrix can be minimized simultaneously. Various experiments are conducted using the real point clouds data, and it is shown that the proposed TLS approach works effectively and achieves better results than the usual LS method.
机译:球形目标是地面激光扫描的重要工具箱。使用球体目标,可以将从不同视图获得的多个点云数据转换为同一坐标系。确定球体目标中心是完成上述任务的关键。确定球心坐标的常用方法是最小二乘法(LS)方法。本文研究了一种使用总最小二乘法(TLS)确定球体目标中心的新方法。对于新方法,假定一个特殊模型,即设计矩阵包含线性化,并且可以同时将残差矢量和设计矩阵中的误差最小化。使用实点云数据进行了各种实验,结果表明,所提出的TLS方法比常规的LS方法有效且取得了更好的效果。

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