Univariate subdivision schemes for noisy data with geometric applications

DOI10.1016/j.cagd.2015.06.003zbMath1417.65079OpenAlexW638994035MaRDI QIDQ1632358

Nir Sharon, Kai Hormann, Allison Heard, N. Richter-Dyn

Publication date: 14 December 2018

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2015.06.003

zbMATH Keywords

convergence analysisnoisy datasubdivision schemesleast squares

Mathematics Subject Classification ID

Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Computer-aided design (modeling of curves and surfaces) (65D17)

Related Items (3)

Families of univariate and bivariate subdivision schemes originated from quartic B-spline ⋮ Family of \(a\)-ary univariate subdivision schemes generated by Laurent polynomial ⋮ Families of non-linear subdivision schemes for scattered data fitting and their non-tensor product extensions

Cites Work

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• Smoothness Properties of Lie Group Subdivision Schemes
• Discrete orthogonal polynomials on equidistant nodes
• Introduction to the Mathematics of Subdivision Surfaces
• Stationary subdivision
• Nonlinear Pyramid Transforms Based on Median-Interpolation

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