Fitting circular arcs by orthogonal distance regression

Applied Numerical Analysis & Computational Mathematics Pub Date : 2004-03-15 DOI:10.1002/anac.200310006

A. Atieg, G. A. Watson

引用次数: 10

Abstract

The problem is considered of fitting circular arcs to discrete data using orthogonal distance regression. This can be formulated as a constrained nonlinear least squares problem, and an efficient Gauss-Newton method is developed. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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用正交距离回归拟合圆弧

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Numerical Analysis & Computational Mathematics

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