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» Application of Level Set Methods in Computer Vision
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IJCAI
2001
15 years 3 months ago
Qualitative Simulation of Genetic Regulatory Networks: Method and Application
Computer modeling and simulation are indispensable for understanding the functioning of an organism on a molecular level. We present an implemented method for the qualitative simu...
Hidde de Jong, Michel Page, Céline Hernande...
134
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ECCV
2006
Springer
16 years 4 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ECCV
2008
Springer
16 years 4 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ICCV
2005
IEEE
15 years 8 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson

Publication
313views
15 years 3 months ago
Visual Surveillance: Dynamic Behavior Analysis at Multiple Levels
New cameras are installed daily all around the world. Hence it becomes increasingly important to develop methods for reducing the manual effort that is still required for video ana...
Michael D. Breitenstein