5 search results - page 1 / 1 » On choosing "optimal" shape parameters for RBF app... |
NA
2007
13 years 4 months ago
2007
Many radial basis function (RBF) methods contain a free shape parameter that plays an important role for the accuracy of the method. In most papers the authors end up choosing this...
SIAMSC
2011
12 years 12 months ago
2011
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 ...
ICPR
2002
IEEE
13 years 10 months ago
2002
IEEE
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper we revisit the process of constructing a high resolution 3D morphable model of face shape variation. We demonstrate how the statistical tools of thin-plate splines a...