Implicit Surface Reconstruction With a Curl-Free Radial Basis Function Partition of Unity Method
DOI10.1137/22M1474485MaRDI QIDQ5038406
Grady B. Wright, Edward J. Fuselier, Kathryn P. Drake
Publication date: 30 September 2022
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.05940
potentialsmoothing splinesradial basis functionpartition of unitymeshfreecurl-freepolyharmonic splinespoint cloudsimplicit surface reconstruction
Numerical computation using splines (65D07) Numerical smoothing, curve fitting (65D10) Computer science aspects of computer-aided design (68U07) Approximation with constraints (41A29) Spline approximation (41A15) Algorithms for approximation of functions (65D15) Computer-aided design (modeling of curves and surfaces) (65D17) Software, source code, etc. for problems pertaining to approximations and expansions (41-04)
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- A radial basis function partition of unity collocation method for convection-diffusion equations arising in financial applications
- Irrotational or divergence-free interpolation
- Smoothing parameter selection for smoothing splines: a simulation study
- Fast and accurate interpolation of large scattered data sets on the sphere
- A vector spline approximation
- Vectorial interpolation using radial-basis-like functions
- Mesh-free semi-Lagrangian methods for transport on a sphere using radial basis functions
- An algorithm for selecting a good value for the parameter \(c\) in radial basis function interpolation
- Efficient computation of partition of unity interpolants through a block-based searching technique
- The parameter \(R^ 2\) in multiquadric interpolation
- A Primer on Radial Basis Functions with Applications to the Geosciences
- Sobolev-type approximation rates for divergence-free and curl-free RBF interpolants
- THE PARTITION OF UNITY METHOD
- A Least Squares Radial Basis Function Partition of Unity Method for Solving PDEs
- A radial basis function method for computing Helmholtz–Hodge decompositions
- Gcvpack – routines for generalized cross validation
- A Partition of Unity Method for Divergence-Free or Curl-Free Radial Basis Function Approximation
- A benchmark for surface reconstruction
- Screened poisson surface reconstruction
- Meshless Pseudo-Polyharmonic Divergence-Free and Curl-Free Vector Fields Approximation
- 3D scattered data interpolation and approximation with multilevel compactly supported RBFs
- Sparse surface reconstruction with adaptive partition of unity and radial basis functions
- Reconstructing multi-scale variational partition of unity implicit surfaces with attributes
- Scattered Data Approximation
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