Unified computation of strict maximum likelihood for geometric fitting

DOI10.1007/s10851-010-0206-6zbMath1490.65029OpenAlexW2149365067MaRDI QIDQ993587

Yasuyuki Sugaya, Ken-Ichi Kanatani

Publication date: 20 September 2010

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-010-0206-6

zbMATH Keywords

fundamental matrixmaximum likelihoodgeometric fittingellipse fittingstereo image triangulation

Mathematics Subject Classification ID

Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Related Items (3)

Hyper least squares fitting of circles and ellipses ⋮ A new approach to statistical efficiency of weighted least squares fitting algorithms for reparameterization of nonlinear regression models ⋮ Multicriteria robust fitting of elliptical primitives

Cites Work

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• Statistical optimization for geometric fitting: theoretical accuracy bound and high order error analysis
• Statistical efficiency of curve fitting algorithms
• Performance evaluation of iterative geometric fitting algorithms
• A class of methods for fitting a curve or surface to data by minimizing the sum of squares of orthogonal distances.
• Multiple View Geometry in Computer Vision
• Least-squares fitting of circles and ellipses
• Heteroscedastic regression in computer vision: Problems with bilinear constraint

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