477 search results - page 54 / 96 » Modeling Image Textures by Gibbs Random Fields |
160
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Autonomous systems which learn and utilize a limited
visual vocabulary have wide spread applications.
Enabling such systems to segment a set of cluttered scenes
into objects is ...
118
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ICDAR
2011
IEEE
14 years 7 days ago
2011
IEEE
—The italic detection and slant rectification is a key step of optical character recognition (OCR). In this paper, a novel method is proposed to detect and rectify italic charact...
107
Voted
VISAPP
2007
15 years 1 months ago
2007
We consider the problem of image deconvolution. We foccus on a Bayesian approach which consists of maximizing an energy obtained by a Markov Random Field modeling. MRFs are classi...
96
Voted
ICIP
1998
IEEE
16 years 2 months ago
1998
IEEE
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
127
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...