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» Markov Random Field Modeling in Computer Vision
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ICCV
2009
IEEE
13 years 7 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
ICIP
2006
IEEE
14 years 3 months ago
MRF Modeling for Optical Flow Computation from Multi-Structure Objects
We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees...
Véronique Prinet, Cyril Cassisa, FengFeng T...
CVPR
2003
IEEE
14 years 2 months ago
Appearance Management and Cue Fusion for 3D Model-Based Tracking
This paper presents a systematic approach to acquiring model appearance information online for monocular modelbased tracking. The acquired information is used to drive a set of co...
Nils Krahnstoever, Rajeev Sharma
ACCV
2006
Springer
14 years 3 months ago
A Multi-Layer MRF Model for Video Object Segmentation
A novel video object segmentation method is proposed which aims at combining color and motion information. The model has a multilayer structure: Each feature has its own layer, cal...
Zoltan Kato, Ting-Chuen Pong
IVC
2008
138views more  IVC 2008»
13 years 9 months ago
Reconstructing relief surfaces
This paper generalizes Markov Random Field (MRF) stereo methods to the generation of surface relief (height) fields rather than disparity or depth maps. This generalization enable...
George Vogiatzis, Philip H. S. Torr, Steven M. Sei...