Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
39,513
Reconstruction and Representation of 3D Objects with Radial Basis Functions
- Computer Graphics (SIGGRAPH ’01 Conf. Proc.), pages 67–76. ACM SIGGRAPH
, 2001
"... We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair incomplete meshes. An object's surface is defined implicitly as the zero set of an RBF fitted to the given surface data. Fast methods for fitting and evaluating RBFs al ..."
Abstract
-
Cited by 505 (1 self)
- Add to MetaCart
We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair incomplete meshes. An object's surface is defined implicitly as the zero set of an RBF fitted to the given surface data. Fast methods for fitting and evaluating RBFs
On the Integrability of Radial Basis Functions
"... In this paper, we investigate the integrability of certain radial basis functions. From the following forms of function OE, OE(r) = ( P d+[ff] k=0 c k r ff\Gammak + g(r) r ? A; P d+[ff] k=0 c k r ff\Gammak log r + g(r); r ? A; where A 0 and g ffi k \Delta k 2 L 1 (IR d ), we construct the ..."
Abstract
- Add to MetaCart
In this paper, we investigate the integrability of certain radial basis functions. From the following forms of function OE, OE(r) = ( P d+[ff] k=0 c k r ff\Gammak + g(r) r ? A; P d+[ff] k=0 c k r ff\Gammak log r + g(r); r ? A; where A 0 and g ffi k \Delta k 2 L 1 (IR d ), we construct
Animated Deformations with Radial Basis Functions
- In ACM Virtual Reality and Software Technology (VRST
, 2000
"... We present a novel approach to creating deformations of polygonal models using Radial Basis Functions (RBFs) to produce localized real-time deformations. Radial Basis Functions assume surface smoothness as a minimal constraint and animations produce smooth displacements of affected vertices in a mod ..."
Abstract
-
Cited by 29 (0 self)
- Add to MetaCart
We present a novel approach to creating deformations of polygonal models using Radial Basis Functions (RBFs) to produce localized real-time deformations. Radial Basis Functions assume surface smoothness as a minimal constraint and animations produce smooth displacements of affected vertices in a
Radial Basis Function Neural Network
"... Abstract: Problem statement: Accurate weather forecasting plays a vital role for planning day to day activities. Neural network has been use in numerous meteorological applications including weather forecasting. Approach: A neural network model has been developed for weather forecasting, based on va ..."
Abstract
- Add to MetaCart
on various factors obtained from meteorological experts. This study evaluates the performance of Radial Basis Function (RBF) with Back Propagation (BPN) neural network. The back propagation neural network and radial basis function neural network were used to test the performance in order to investigate
Characterization and construction of radial basis functions
- Multivariate Approximation and Applications
, 2001
"... We review characterizations of (conditional) positive deniteness and show how they apply to the theory of radial basis functions. We then give complete proofs for the (conditional) positive deniteness of all practically relevant basis functions. Furthermore, we show how some of these characterizatio ..."
Abstract
-
Cited by 33 (8 self)
- Add to MetaCart
We review characterizations of (conditional) positive deniteness and show how they apply to the theory of radial basis functions. We then give complete proofs for the (conditional) positive deniteness of all practically relevant basis functions. Furthermore, we show how some
The Gibbs Phenomenon for Radial Basis Functions
- Gibbs Phenomenon in Various Representations and Applications, Sampling Publishing
, 2006
"... Abstract. What is now known as the Gibbs phenomenon was first observed in the context of truncated Fourier expansions, but other versions of it arise also in situations such as truncated integral transforms and for different interpolation methods. Radial basis functions (RBF) is a modern interpolati ..."
Abstract
-
Cited by 6 (3 self)
- Add to MetaCart
Abstract. What is now known as the Gibbs phenomenon was first observed in the context of truncated Fourier expansions, but other versions of it arise also in situations such as truncated integral transforms and for different interpolation methods. Radial basis functions (RBF) is a modern
Radial basis functions
"... ver al b, m sfin ited wo nd a behavior of thin and thick composite plates. Through numerical experiments on square and L-shaped plates, the accuracy and efficiency of this collocation technique is demonstrated, and the numerical ite pla finit ar def hlessm id the aches basis function, to all the rem ..."
Abstract
- Add to MetaCart
ver al b, m sfin ited wo nd a behavior of thin and thick composite plates. Through numerical experiments on square and L-shaped plates, the accuracy and efficiency of this collocation technique is demonstrated, and the numerical ite pla finit ar def hlessm id the aches basis function, to all
radial basis function networks
, 2005
"... Evolutionary system for automatically constructing and adapting ..."
Results 1 - 10
of
39,513
