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A Structured Total Least Squares Algorithm for Spatial Straight Line Fitting

机译:空间直线拟合的结构化总最小二乘算法

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摘要

A general function model of spatial straight line is established according to its linear parametric equation. And a structured total least squares algorithm for spatial straight line fitting is investigated in this paper, not only taking into account the errors caused by X, Y, Z three directions and the results impacted by constant columns in the coefficient matrix, but also considering the repeating elements of the coefficient matrix get the same corrections in different locations .The example given in this contribution illustrates that the efficiency and feasibility of this algorithm.
机译:根据其线性参数方程建立了空间直线的通用函数模型。本文研究了一种结构化的空间最小二乘算法,用于空间直线拟合,不仅考虑了X,Y,Z三个方向所引起的误差以及系数矩阵中常数列对结果的影响,而且还考虑了系数矩阵的重复元素在不同位置得到相同的校正。此贡献中给出的示例说明了该算法的效率和可行性。

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