Performance evaluation of iterative geometric fitting algorithms

DOI10.1016/j.csda.2007.05.013zbMath1452.62079OpenAlexW2122109525MaRDI QIDQ1019207

Yasuyuki Sugaya, Ken-Ichi Kanatani

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.05.013

zbMATH Keywords

fundamental matrixgeometric fittingellipse fittingKCR lower boundconvergence performance

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Numerical smoothing, curve fitting (65D10)

Related Items (4)

Statistical optimization for geometric fitting: theoretical accuracy bound and high order error analysis ⋮ Hyper least squares fitting of circles and ellipses ⋮ Unified computation of strict maximum likelihood for geometric fitting ⋮ Editorial: Total least squares and errors-in-variables modeling

Cites Work

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• Statistical efficiency of curve fitting algorithms
• FNS, CFNS and HEIV: a unifying approach
• On the convergence of fitting algorithms in computer vision
• Least-squares fitting of circles and ellipses
• Heteroscedastic regression in computer vision: Problems with bilinear constraint

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