Implicit fitting of point cloud data using radial Hermite basis functions

DOI10.1007/S00607-006-0206-YzbMath1116.65018OpenAlexW2083504543MaRDI QIDQ884740

H. Hagen, Gregory M. Nielson, Kun Lee

Publication date: 7 June 2007

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-006-0206-y

zbMATH Keywords

numerical examplesscattered data approximationisosurfacespoint cloudsnoisy 3D dataradial Hermite operatorsSurface fitting

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Computer-aided design (modeling of curves and surfaces) (65D17) Approximation by arbitrary nonlinear expressions; widths and entropy (41A46)

Related Items (1)

Normalized implicit eigenvector least squares operators for noisy scattered data: Radial basis functions

Cites Work

• Unnamed Item
• Least squares surface approximation to scattered data using multiquadratic functions
• Smooth interpolation of large sets of scattered data
• Knot Selection for Least Squares Thin Plate Splines

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