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» Creating Generative Models from Range Images
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BMCBI
2007
148views more  BMCBI 2007»
15 years 6 months ago
Toward the automated generation of genome-scale metabolic networks in the SEED
Background: Current methods for the automated generation of genome-scale metabolic networks focus on genome annotation and preliminary biochemical reaction network assembly, but d...
Matthew DeJongh, Kevin Formsma, Paul Boillot, John...
WSCG
2003
219views more  WSCG 2003»
15 years 8 months ago
Animating Scanned Human Models
We present techniques for automatically creating and animating models obtained from human whole body scanned data. A layered model is developed in which the underlying skeleton, s...
João Fradinho Oliveira, Dongliang Zhang, Be...
CAE
2010
15 years 1 months ago
Learning about Shadows from Artists
Renaissance artists discovered methods for imaging realistic depth on a two dimensional surface by re-inventing linear perspective. In solving the problem of depth depiction, they...
Elodie Fourquet
CVPR
2005
IEEE
16 years 8 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
NPAR
2004
ACM
16 years 5 days ago
Image fusion for context enhancement and video surrealism
We present a class of image fusion techniques to automatically combine images of a scene captured under different illumination. Beyond providing digital tools for artists for crea...
Ramesh Raskar, Adrian Ilie, Jingyi Yu