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» Computer Vision: Algorithms and Applications
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STOC
1995
ACM
107views Algorithms» more  STOC 1995»
15 years 10 months ago
Incremental cryptography and application to virus protection
The goal of incremental cryptography is to design cryptographic algorithms with the property that having applied the algorithm to a document, it is possible to quickly update the ...
Mihir Bellare, Oded Goldreich, Shafi Goldwasser
CVPR
2009
IEEE
17 years 2 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
CAIP
2009
Springer
16 years 1 months ago
A Methodology for Evaluating Illumination Artifact Removal for Corresponding Images
Robust stereo and optical flow disparity matching is essential for computer vision applications with varying illumination conditions. Most robust disparity matching algorithms rel...
Tobi Vaudrey, Andreas Wedel, Reinhard Klette
TFS
2008
174views more  TFS 2008»
15 years 6 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu

Publication
195views
16 years 3 months ago
Detecting Motion Patterns via Direction Maps with Application to Surveillance
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel intensity values towards representations that explicitly and compactly ca...
Jacob M. Gryn, Richard P. Wildes, John K. Tsotsos