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GEOMETRIC LEAST SQUARES FITTING OF CIRCLE AND ELLIPSE

机译:圆和椭圆的几何最小二乘拟合

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摘要

The least squares fitting of geometric features to given points minimizes the squares sum of error-of-fit in predefine measures. By the geometric fitting, the error distances are defined with the orthogonal, or shortest, distances from the given points to the geometric feature to be fitted. For the geometric fitting of circle and ellipse, robust algorithms are proposed which are based on the coordinate descriptions of the corresponding point on the circle/ellipse for the given point, where the connecting line of the two points is the shortest path from the given point to the circle/ellipse.
机译:几何特征到给定点的最小二乘拟合将最小化预定义度量中的拟合误差的平方和。通过几何拟合,误差距离定义为从给定点到要拟合的几何特征的正交或最短距离。对于圆和椭圆的几何拟合,提出了鲁棒算法,该算法基于圆/椭圆上给定点的对应点的坐标描述,其中两点的连接线是距给定点的最短路径到圆/椭圆。

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