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» Kernel Methods for Implicit Surface Modeling
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ICML
2004
IEEE
14 years 8 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
PG
1999
IEEE
13 years 11 months ago
Boundary Determination for Trivariate Solids
The trivariate tensor-product B-spline solid is a direct extension of the B-spline patch and has been shown to be useful in the creation and visualization of free-form geometric s...
Kenneth I. Joy, Mark A. Duchaineau
CGF
2004
97views more  CGF 2004»
13 years 7 months ago
Implicit Visualization and Inverse Modeling of Growing Trees
A method is proposed for photo-realistic modeling and visualization of a growing tree. Recent visualization methods have focused on producing smoothly blending branching structure...
Callum Galbraith, Lars Mündermann, Brian Wyvi...
ICCV
1998
IEEE
14 years 9 months ago
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
In this paper, we present a robust method for creating a triangulated surface mesh from multiple range images. Our method merges a set of range images into a volumetric implicit-s...
Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi
SMA
2003
ACM
115views Solid Modeling» more  SMA 2003»
14 years 19 days ago
Estimating the in/out function of a surface represented by points
We present a method to estimate the in/out function of a closed surface represented by an unorganized set of data points. From the in/out function, we compute an approximation of ...
Vinícius Mello, Luiz Velho, Gabriel Taubin