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» Light Fields and Computational Imaging
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ICPR
2008
IEEE
15 years 11 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
SIGGRAPH
2000
ACM
15 years 2 months ago
Plenoptic sampling
This paper studies the problem of plenoptic sampling in imagebased rendering (IBR). From a spectral analysis of light field signals and using the sampling theorem, we mathematica...
Jinxiang Chai, Shing-Chow Chan, Heung-Yeung Shum, ...
MOBICOM
2010
ACM
14 years 10 months ago
Challenge: mobile optical networks through visual MIMO
Mobile optical communications has so far largely been limited to short ranges of about ten meters, since the highly directional nature of optical transmissions would require costl...
Ashwin Ashok, Marco Gruteser, Narayan Mandayam, Ja...
AIRS
2006
Springer
14 years 12 months ago
Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK)
Visual information retrieval is an emerging domain in the medical field as it has been in computer vision for more than ten years. It has the potential to help better managing the ...
Henning Müller, Joris Heuberger, Adrien Depeu...
CVPR
2007
IEEE
15 years 12 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen