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Markov Random Fields (MRF) - Based Texture Segmentation for Road Detection
Mapping Photogrammetry Vision Fusion Identification Monitoring Real-time Platforms
2015/12/9
Traffic observation from airplane platforms using digital cameras is a fairly new application of Video Image Detection Systems (VIDS). These systems are also particularly interesting for observations ...
A STEP TOWARDS SEMANTIC-BASED BUILDING RECONSTRUCTION USING MARKOV-RANDOM-FIELDS
Building reconstruction Digital surface models Markov-Random-Fields Topology
2014/12/31
In this paper we describe a new concept for the reconstruction of buildings. In contrast to most of the published approaches, we link the reconstruction process with the building interpretation. With ...
THE DECISION OF THE OPTIMAL PARAMETERS IN MARKOV RANDOM FIELDS OF IMAGES BY GENETIC ALGORITHM
Genetic algorithm Markov Random Field Parameter optimum Texture classification
2014/12/31
This paper introduces the principle of genetic algorithm and the basic method of solving Markov Random Field parameters. Focusing on the shortcoming in present methods, a new method based on genetic a...
Subset Selection for Gaussian Markov Random Fields
Subset Selection Gaussian Markov Random Fields
2012/11/26
Given a Gaussian Markov random field, we consider the problem of selecting a subset of variables to observe which minimizes the total expected squared prediction error of the unobserved variables. We ...
3D CLASSIFICATION OF CROSSROADS FROM MULTIPLE AERIAL IMAGES USING MARKOV RANDOM FIELDS
Markov Random Fields Contextual Classification Crossroads
2014/4/28
The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a ...
Poincaré inequality for Markov random fields via disagreement percolation
Poincar´ e inequality weak Poincar´ e inequality Gibbs mea-
2011/1/20
We consider Markov random fields of discrete spins on the lattice Zd. We use a technique of coupling of conditional distributions. If under the coupling the disagreement cluster is “sufficiently” subc...
Pair-wise Markov Random Fields Applied to the Design of Low Complexity MIMO Detectors
Pair-wise Markov Random Fields Design Low Complexity MIMO Detectors
2010/11/24
Pair-wise Markov random fields (MRF) are considered for application to the development of low complexity, iterative MIMO detection. Specifically, we consider two types of MRF, namely, the fully-conne...
Approximating entropy for a class of $\zz^2$ Markov Random Fields and pressure for a class of functions on $\zz^2$ shifts of finite type
multidimensional shifts of finite type Markov random fields
2010/12/7
For a class of Z2 Markov Random Fields (MRFs) μ, we show that the sequence of successive differences of entropies of induced MRFs on strips of height n converges exponentially fast (in n) to the entro...
On the neighborhood radius estimation in Variable-neighborhood Markov Random Fields
Gibbs measures random lattice fields variable-neighborhood Markovrandom fields Markovian approximations Context algorithm consistent estimation
2010/3/11
We consider Markov Random Fields defined by finite-region conditional probabilities
depending on a neighborhood of the region which changes with the boundary conditions.
The formal definition of the...
Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstructing a dependency graph of bou...