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» Kernel Methods for Implicit Surface Modeling
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ICML
2004
IEEE
15 years 10 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
15 years 2 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»
14 years 9 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
15 years 11 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»
15 years 3 months 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