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Algebraic Fitting of Quadric Surfaces to Data

机译:二次曲面到数据的代数拟合

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摘要

A important problem is that of finding a quadric surface which gives a "best" fit to m given data points. There are many application areas, for example metrology, computer graphics, pattern recognition, and in particular quadric surfaces are often to be found in manufactured parts. There are many criteria which can be used for fitting, but one of the simplest is so-called algebraic fitting, which exploits the fact that an expression for the curve can be given which is affine in the free parameters. Here we examine a general class of such algebraic fitting problems, consider how the members of the class can be interpreted in terms of the errors in the data, and present simple algorithms which apply to all of the problems.
机译:一个重要的问题是找到一个对m个给定数据点具有“最佳”拟合的二次曲面。有许多应用领域,例如度量衡,计算机图形学,图案识别,尤其是在制造的零件中经常发现二次曲面。有许多标准可用于拟合,但是最简单的标准之一就是所谓的代数拟合,它利用了这样的事实:可以给出自由参数上仿射的曲线表达式。在这里,我们研究了这类代数拟合问题的一般类,考虑了如何根据数据中的错误解释类的成员,并提出了适用于所有问题的简单算法。

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