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SUMMARY:Low-order graphical models for shapes and hierarchies in segmentat
 ion - Yuri Boykov (University of Western Ontario)
DTSTART:20171213T090000Z
DTEND:20171213T100000Z
UID:TALK96571@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:This talks discusses simple (low-order) graphical models impos
 ing practically powerful constraints on shapes and hierarchical structure 
 of segments  in the context of binary and multi-object labeling of images.
  We discuss properties and optimization for generic shape priors like "sta
 r"\,  geodesic star\, hedgehog\, as well as models for partially-ordered l
 abeling of interacting objects. While the talk focuses on biomedical appli
 cations where structural constraints (shapes and hierarchy) come from anat
 omy\, the discussed general graphical models are useful for semi-supervise
 d computer vision problems.   Related papers appeared at CVPR 2017\, 2016\
 , ICCV 2009\, 2005\, ECCV 2008.
LOCATION:Seminar Room 1\, Newton Institute
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