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NURBS surface fitting with Gauss-Newton
2009 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This paper shows an approach to nonlinear least squares fitting of NURBS curves and surfaces to measured data by the Gauss-Newton method. A line search with regularisation and trust region method are used to reach global convergence, as well as variable substitution and simple bounds.

Place, publisher, year, edition, pages
Keyword [en]
Physics Chemistry Maths, NURBS surface fitting, nonlinear least squares, Gauss-, Newton, orthogonal distance regression, optimisation
Keyword [sv]
Fysik, Kemi, Matematik
URN: urn:nbn:se:ltu:diva-44769ISRN: LTU-EX--09/031--SELocal ID: 28592f25-2f38-42e1-8b6b-4abefeee6634OAI: diva2:1018048
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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