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» Markov Random Field Modeling in Computer Vision
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IJCV
2012
11 years 10 months ago
Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation
The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation. However, existing HCRF m...
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
ICML
2003
IEEE
14 years 8 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
PAMI
2000
127views more  PAMI 2000»
13 years 7 months ago
Geometric Camera Calibration Using Circular Control Points
Modern CCD cameras are usually capable of a spatial accuracy greater than 1/50 of the pixel size. However, such accuracy is not easily attained due to various error sources that c...
Janne Heikkilä
IJCV
2011
152views more  IJCV 2011»
13 years 2 months ago
Recovering Occlusion Boundaries from an Image
Occlusion reasoning is a fundamental problem in computer vision. In this paper, we propose an algorithm to recover the occlusion boundaries and depth ordering of free-standing str...
Derek Hoiem, Alexei A. Efros, Martial Hebert

Publication
118views
14 years 9 months ago
The Minimum Circuity Frontier and the Journey to Work
People travel between places of residence and work destinations via transportation net- works. The relation between selection of home and work locations has been heavily debated ...
Levinson, D. and El-Geneidy A.