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» Light Field Analysis for Modeling Image Formation
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ICDAR
2007
IEEE
15 years 3 months ago
Document Image Segmentation Using a 2D Conditional Random Field Model
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
Stéphane Nicolas, J. Dardenne, Thierry Paqu...
IJCV
2002
102views more  IJCV 2002»
14 years 9 months ago
Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction
Image-based relighting (IBL) is a technique to change the illumination of an image-based object/scene. In this paper, we define a representation called the reflected irradiance fi...
Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum
EMMCVPR
1999
Springer
15 years 1 months ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
Markus Svensén, Frithjof Kruggel, D. Yves v...
TIP
2008
139views more  TIP 2008»
14 years 9 months ago
Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy
Abstract--Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, t...
François Aguet, Dimitri Van De Ville, Micha...
RT
1997
Springer
15 years 1 months ago
Reconstructing the Visual Field of Compound Eyes
: Realistic image synthesis research involves the simulation of visible light propagation within an environment with a view to computing an image that evokes a similar visual respo...
Steven Collins