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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 7 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
15 years 11 months 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