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» Modeling Image Textures by Gibbs Random Fields
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ICIP
2001
IEEE
16 years 7 months ago
Disparity map restoration by integration of confidence in Markov random fields models
This paper proposes some Markov Random Field (MRF) models for restoration of stereo disparity maps. The main aspect is the use of confidence maps provided by the Symmetric Multipl...
Andrea Fusiello, Umberto Castellani, Vittorio Muri...
ICIP
1998
IEEE
16 years 7 months ago
Adaptive Restoration of Speckled SAR Images using a Compound Random Markov Field
This paper proposes a restoration scheme for noisy images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and ...
José M. B. Dias, José M. N. Leit&ati...
NIPS
2003
15 years 6 months ago
Discriminative Fields for Modeling Spatial Dependencies in Natural Images
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...
Sanjiv Kumar, Martial Hebert
ICDAR
2009
IEEE
16 years 4 days ago
Text Localization in Natural Scene Images Based on Conditional Random Field
This paper proposes a novel hybrid method to robustly and accurately localize texts in natural scene images. A text region detector is designed to generate a text confidence map,...
Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
ECCV
2006
Springer
16 years 7 months ago
A Comparative Study of Energy Minimization Methods for Markov Random Fields
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
Richard Szeliski, Ramin Zabih, Daniel Scharstein, ...