Least squares orthogonal distance fitting of curves and surfaces in space.

DOI10.1007/B104017zbMath1067.65019OpenAlexW1576040362MaRDI QIDQ1769765

Sung Joon Ahn

Publication date: 23 March 2005

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/b104017

zbMATH Keywords

convergencetextbookcurvesleast squaressurfacesobject reconstructionbest-fit algorithms

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Research exposition (monographs, survey articles) pertaining to numerical analysis (65-02) Computer-aided design (modeling of curves and surfaces) (65D17)

Related Items (10)

Equivariant adjusted least squares estimator in two-line fitting model ⋮ A doubly optimal ellipse fit ⋮ Robust fitting of ellipsoids by separating interior and exterior points during optimization ⋮ Does the best-fitting curve always exist? ⋮ Fitting a Cubic Bézier to a Parametric Function ⋮ Errors-in-variables regression and the problem of moments ⋮ Algorithms for projecting points onto conics ⋮ Fast and numerically stable circle fit ⋮ Guaranteed ellipse fitting with a confidence region and an uncertainty measure for centre, axes, and orientation ⋮ Statistical analysis of concentric objects estimation problem under the heteroscedastic Berman model

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