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ICCV
2009
IEEE
17 years 6 days ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
ICCV
2009
IEEE
2171views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Fast Visibility Restoration from a Single Color or Gray Level Image
One source of difficulties when processing outdoor images is the presence of haze, fog or smoke which fades the colors and reduces the contrast of the observed objects. We introdu...
Jean-Philippe Tarel and Nicolas Hautière
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
CVPR
2003
IEEE
16 years 9 months ago
Nonparametric Belief Propagation
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
CVPR
2005
IEEE
16 years 9 months ago
Interactive Shape from Shading
Shape from shading (SfS) has always been difficult for real applications due to its intrinsic ill-posedness. In this paper, we propose an interactive SfS method which efficiently ...
Gang Zeng, Yasuyuki Matsushita, Long Quan, Heung-Y...
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