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» Estimating Markov Random Field Potentials for Natural Images
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CAIP
2009
Springer
202views Image Analysis» more  CAIP 2009»
13 years 5 months ago
Near-Regular Texture Synthesis
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...
Michal Haindl, Martin Hatka
AAAI
2008
13 years 10 months ago
Relaxed Survey Propagation: A Sum-Product Algorithm for Max-SAT
The survey propagation (SP) algorithm has been shown to work well on large instances of the random 3-SAT problem near its phase transition. It was shown that SP estimates marginal...
Hai Leong Chieu, Wee Sun Lee
IJCAI
2007
13 years 9 months ago
Depth Estimation Using Monocular and Stereo Cues
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng
ICCV
2009
IEEE
15 years 17 days ago
Factorizing Scene Albedo and Depth from a Single Foggy Image
Atmospheric conditions induced by suspended particles, such as fog and haze, severely degrade image quality. Restoring the true scene colors (clear day image) from a single imag...
Louis Kratz, Ko Nishino
ICML
2005
IEEE
14 years 8 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang