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» Approximation algorithms for developable surfaces
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ISBI
2004
IEEE
16 years 2 months ago
EEG Cortical Imaging: A Vector Field Approach for Laplacian Denoising and Missing Data Estimation
The surface Laplacian is known to be a theoretical reliable approximation of the cortical activity. Unfortunately, because of its high pass character and the relative low density ...
Teodor Alecu, Sviatoslav Voloshynovskiy, Thierry P...
111
Voted
SIGGRAPH
1999
ACM
15 years 6 months ago
Creating Generative Models from Range Images
We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...
Ravi Ramamoorthi, James Arvo
WSCG
2003
177views more  WSCG 2003»
15 years 3 months ago
Efficient NURBS Rendering using View-Dependent LOD and Normal Maps
Rendering large trimmed NURBS models with high quality at interactive frame rates is of great interest for industry, since nearly all their models are designed on the basis of thi...
Michael Guthe, Reinhard Klein
CAD
2005
Springer
15 years 1 months ago
Parameterization and parametric design of mannequins
This paper presents a novel feature based parameterization approach of human bodies from the unorganized cloud points and the parametric design method for generating new models ba...
Charlie C. L. Wang
EMMCVPR
2001
Springer
15 years 6 months ago
A Double-Loop Algorithm to Minimize the Bethe Free Energy
Recent work (Yedidia, Freeman, Weiss [22]) has shown that stable points of belief propagation (BP) algorithms [12] for graphs with loops correspond to extrema of the Bethe free ene...
Alan L. Yuille