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» Real-Time Shape Editing using Radial Basis Functions
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ICANN
2007
Springer
13 years 11 months ago
Deformable Radial Basis Functions
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...
Wolfgang Hübner, Hanspeter A. Mallot
VRST
2000
ACM
13 years 9 months ago
Animated deformations with radial basis functions
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 as...
Jun-yong Noh, Douglas Fidaleo, Ulrich Neumann
NA
2007
120views more  NA 2007»
13 years 4 months ago
On choosing "optimal" shape parameters for RBF approximation
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...
Gregory E. Fasshauer, Jack G. Zhang
SMI
2007
IEEE
208views Image Analysis» more  SMI 2007»
13 years 11 months ago
A Partition-of-Unity Based Algorithm for Implicit Surface Reconstruction Using Belief Propagation
In this paper, we propose a new algorithm for the fundamental problem of reconstructing surfaces from a large set of unorganized 3D data points. The local shapes of the surface ar...
Yi-Ling Chen, Shang-Hong Lai
SMA
2008
ACM
157views Solid Modeling» more  SMA 2008»
13 years 5 months ago
Interactive physically-based shape editing
We present an alternative approach to standard geometric shape editing using physically-based simulation. With our technique, the user can deform complex objects in real-time. The...
Johannes Mezger, Bernhard Thomaszewski, Simon Pabs...