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» Markov random field models for hair and face segmentation
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ECCV
2010
Springer
13 years 8 months ago
Automatic Learning of Background Semantics in Generic Surveilled Scenes
Advanced surveillance systems for behavior recognition in outdoor traffic scenes depend strongly on the particular configuration of the scenario. Scene-independent trajectory analy...
Carles Fernández, Jordi Gonzàlez, Xavier Roca
CVPR
2010
IEEE
13 years 11 months ago
Group MRF for fMRI Activation Detection
Noise confounds present serious complications to accurate data analysis in functional magnetic resonance imaging (fMRI). Simply relying on contextual image information often resul...
Bernard Ng, Rafeef Abugharbieh, Ghassan Hamarneh
ICCV
2011
IEEE
12 years 5 months ago
Color Photometric Stereo for Multicolored Surfaces
We present a multispectral photometric stereo method for capturing geometry of deforming surfaces. A novel photometric calibration technique allows calibration of scenes containin...
Robert Anderson, Bjorn Stenger, Roberto Cipolla
ICCV
2007
IEEE
14 years 7 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ACISICIS
2007
IEEE
13 years 11 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe