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SIAMSC
2011
153views more  SIAMSC 2011»
13 years 1 months ago
Stable Computations with Gaussian Radial Basis Functions
Abstract. Radial basis function (RBF) approximation is an extremely powerful tool for representing smooth functions in non-trivial geometries, since the method is meshfree and can ...
Bengt Fornberg, Elisabeth Larsson, Natasha Flyer
CVPR
2007
IEEE
14 years 8 months ago
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
In this paper we derive differential equations for evolving radial basis functions (RBFs) to solve segmentation problems. The differential equations result from applying variation...
Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal
CGF
2008
109views more  CGF 2008»
13 years 6 months ago
Progressive Interpolation based on Catmull-Clark Subdivision Surfaces
We introduce a scheme for constructing a CatmullClark subdivision surface that interpolates the vertices of a quadrilateral mesh with arbitrary topology. The basic idea here is to...
Zhongxian Chen, Xiaonan Luo, Le Tan, Binghong Ye, ...
GRAPHITE
2003
ACM
13 years 11 months ago
Smooth surface reconstruction from noisy range data
This paper shows that scattered range data can be smoothed at low cost by fitting a Radial Basis Function (RBF) to the data and convolving with a smoothing kernel (low pass filt...
Jonathan C. Carr, Richard K. Beatson, Bruce C. McC...
SIBGRAPI
2009
IEEE
14 years 1 months ago
Hermite Interpolation of Implicit Surfaces with Radial Basis Functions
—We present the Hermite radial basis function (HRBF) implicits method to compute a global implicit function which interpolates scattered multivariate Hermite data (unstructured p...
Ives Macedo, Joao Paulo Gois, Luiz Velho