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Markov random field
Known as:
Markov field
, Markov net
, Markov graph
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In the domain of physics and probability, a Markov random field (often abbreviated as MRF), Markov network or undirected graphical model is a set of…
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Related topics
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Artificial intelligence
Bayesian network
Belief propagation
Boltzmann machine
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Shadows in Three-Source Photometric Stereo
Carlos Hernández
,
George Vogiatzis
,
R. Cipolla
European Conference on Computer Vision
2008
Corpus ID: 13987357
Shadows are one of the most significant difficulties of the photometric stereo method. When four or more images are available…
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Highly Cited
2003
Highly Cited
2003
Multi-objective super resolution: concepts and examples
D. Rajan
,
S. Chaudhuri
,
M. Joshi
IEEE Signal Processing Magazine
2003
Corpus ID: 119825469
Described methods for simultaneously generating the super-resolved depth map and the image from LR observations. Structural…
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2002
2002
Factorial Markov Random Fields
Junh-Nam Kim
,
R. Zabih
European Conference on Computer Vision
2002
Corpus ID: 18841675
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension…
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Review
2002
Review
2002
Multiscale Data Integration Using Markov Random Fields
Sang Heon Lee
,
A. Malallah
,
A. Datta-Gupta
,
D. Higdon
2002
Corpus ID: 14110989
This paper was selected for presentation by an SPE Program Committee following review of information contained in an abstract…
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Highly Cited
2000
Highly Cited
2000
Mechanisms of material removal in magnetorheological finishing (MRF) of glass
A. Shorey
2000
Corpus ID: 137080031
Highly Cited
1998
Highly Cited
1998
Spatial information retrieval from remote-sensing images. II. Gibbs-Markov random fields
Michael Schröder
,
H. Rehrauer
,
K. Seidel
,
M. Datcu
IEEE Transactions on Geoscience and Remote…
1998
Corpus ID: 17100437
For pt.I see ibid., p.1431-45 (1998). The authors present Gibbs-Markov random field (GMRF) models as a powerful and robust…
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Highly Cited
1996
Highly Cited
1996
Stereo image compression with disparity compensation using the MRF model
Woontack Woo
,
Antonio Ortega
Other Conferences
1996
Corpus ID: 7476652
In coming years there will be an increasing demand for realistic 3-D display of scenes using such popular approaches as stereo or…
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Highly Cited
1991
Highly Cited
1991
Texture segmentation based on a hierarchical Markov random field model
R. Hu
,
M. Fahmy
., IEEE International Sympoisum on Circuits and…
1991
Corpus ID: 61286525
A novel texture segmentation technique for both supervised and unsupervised segmentation is presented. The textured images under…
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1989
1989
Color image segmentation using Markov random fields
M. Daily
Proceedings CVPR '89: IEEE Computer Society…
1989
Corpus ID: 39605452
The use of Markov random fields (MRFs) in color image segmentation of natural outdoor scenes is discussed. MRFs provide an…
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1987
1987
A parallel image segmentation algorithm using relaxation with varying neighborhoods and its mapping to array processors
H. Derin
,
C. Won
Computer Vision Graphics and Image Processing
1987
Corpus ID: 34708578
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