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ESANN
2003
13 years 9 months ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Jianyu Li, Siwei Luo, Yingjian Qi
CVPR
2008
IEEE
14 years 9 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
EMMCVPR
2005
Springer
14 years 1 months ago
A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images
Abstract. We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two known curves (the constr...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
CVPR
2008
IEEE
14 years 2 months ago
Global stereo reconstruction under second order smoothness priors
Second-order priors on the smoothness of 3D surfaces are a better model of typical scenes than first-order priors. However, stereo reconstruction using global inference algorithm...
Oliver J. Woodford, Philip H. S. Torr, Ian D. Reid...
VC
2008
86views more  VC 2008»
13 years 7 months ago
Material-aware differential mesh deformation using sketching interface
In this paper, we present a material-aware mesh deformation method using a sketching interface. Guided by user-specified material properties, our method can deform the surface mesh...
Hongxin Zhang, Dong Xu, Hujun Bao