ICPR
2008
IEEE
15 years 1 months ago
2008
IEEE
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over wh...
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ICDE
2008
IEEE
15 years 1 months ago
2008
IEEE
In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
ICIP
1995
IEEE
15 years 1 months ago
1995
IEEE
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis' generalized sampling theorem. The algorith...
ICIP
2003
IEEE
15 years 1 months ago
2003
IEEE
This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
ICIP
2004
IEEE
15 years 1 months ago
2004
IEEE
This paper describes a computational model for deriving a decomposition of objects from laser rangefinder data. The process aims to produce a set of parts defined by compactness a...
ICIP
2005
IEEE
15 years 1 months ago
2005
IEEE
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
ECCV
2002
Springer
15 years 1 months ago
2002
Springer
In this paper, we formulate the stereo matching problem as a Markov network consisting of three coupled Markov random fields (MRF's). These three MRF's model a smooth fie...
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
ICCV
2007
IEEE
15 years 1 months ago
2007
IEEE
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...