14 search results - page 2 / 3 » Learning Non-Local Range Markov Random Field for Image Resto... |
WACV
2002
IEEE
13 years 9 months ago
2002
IEEE
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
EMMCVPR
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we consider the problem of color restoration using statistical priors. This is applied to color recovery for underwater images, using an energy minimization formulat...
UAI
2008
13 years 6 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
AAAI
2004
13 years 6 months ago
2004
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...