Markov random field-based fitting of a subdivision-based geometric atlas

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 2540-2547

  Kurkure, Uday ^a   Le, Yen H ^a   Paragios, Nikos ^a,b,c   Ju, Tao ^d   Carson, James P ^e   Kakadiaris, Ioannis A ^a  

^a UNIVERSITY OF HOUSTON   (United States)

^b Center for Visual Computing   (France)

^c INRIA SACLAY   (France)

^d WASHINGTON UNIVERSITY   (United States)

^e PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL STRUCTURES; AUTOMATED FITTING; COMPACT REPRESENTATION; CONTROL POINT; DEFORMABLE MESH; GEOMETRIC CONSTRAINT; GEOMETRIC PROPERTIES; GRAPHICAL MODEL; HIGH RESOLUTION; LANDMARK MATCHING; MANUAL ANNOTATION; MESH STRUCTURES; MOUSE BRAIN; MULTI-RESOLUTIONS; OBJECT BOUNDARIES; OPTIMAL FITTING; OPTIMAL LOCATIONS; SPATIAL ANALYSIS; SUBDIVISION MESHES;

DEFORMATION; GENE EXPRESSION; GEOMETRY; IMAGE SEGMENTATION; OPTIMIZATION;

COMPUTER GRAPHICS;

EID: 84856682675     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126541     Document Type: Conference Paper

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