A new deterministic heuristic knots placement for B-spline approximation

DOI10.1016/j.matcom.2020.07.021OpenAlexW3046642754MaRDI QIDQ1998594

Dominique Michel, Ahmed Zidna

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2020.07.021

zbMATH Keywords

curvatureB-spline approximationknot placementdense and noisy datadiscrete angular variationdiscrete derivativeshandwriting compression

Mathematics Subject Classification ID

Approximations and expansions (41Axx)

Related Items (2)

Knot Placement for B-Spline Curve Approximation via $L_{∞, 1}$-Norm and Differential Evolution Algorithm ⋮ Fourier-informed knot placement schemes for B-spline approximation

Cites Work

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• Adaptive knot placement in B-spline curve approximation
• A practical guide to splines
• Learnt knot placement in B-spline curve approximation using support vector machines
• Spline curve approximation and design by optimal control over the knots
• Optimal knots allocation in the cubic and bicubic spline interpolation problems
• Knot calculation for spline fitting based on the unimodality property
• A Note on the Generation of Random Normal Deviates
• Splines (with optimal knots) are better
• Approximation to Data by Splines with Free Knots

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