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» Light Fields and Computational Imaging
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VISUALIZATION
2002
IEEE
15 years 2 months ago
Maximum Entropy Light Source Placement
Finding the “best” viewing parameters for a scene is quite difficult but a very important problem. Fully automatic procedures seem to be impossible as the notion of “best...
Stefan Gumhold
ICCV
2005
IEEE
15 years 11 months ago
On the Equivalence of Common Approaches to Lighting Insensitive Recognition
Lighting variation is commonly handled by methods invariant to additive and multiplicative changes in image intensity. It has been demonstrated that comparing images using the dir...
Margarita Osadchy, David W. Jacobs, Michael Linden...
CVPR
2008
IEEE
15 years 11 months ago
On controlling light transport in poor visibility environments
Poor visibility conditions due to murky water, bad weather, dust and smoke severely impede the performance of vision systems. Passive methods have been used to restore scene contr...
Mohit Gupta, Srinivasa G. Narasimhan, Yoav Y. Sche...
EMMCVPR
1999
Springer
15 years 2 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...
3DIM
1999
IEEE
15 years 2 months ago
Computing Consistent Normals and Colors from Photometric Data
We present a method for computing normals and colors from multiple sets of photometric data, that are consistent with each other and an underlying lower resolution mesh. Normals a...
Holly E. Rushmeier, Fausto Bernardini