Grant: Discovery Grants Program - Individual
University of Waterloo
$169,600.00
Combinatorial Optimization for Computer Vision and Biomedical Image Analysis
EF 2021-22
Résumé
biomedical image analysis; computer vision; curvature regularization; graphical models; high-order combinatorial optimization; Markov Random Fields, Conditional Random Fields; segmentation; shape prior; structural labeling; vessel centerline detection
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2017-04960
Name nom
Boykov, Yuri
Department département
Computer Science, David R. Cheriton School of - Computer Science, David R. Cheriton School of
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2017
Award amount
169600
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2603
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Computer vision
Research subject fr
Vision artificielle
Installment
inst:5; 6
Partie
2
Nb partie
6
Application title
Combinatorial Optimization for Computer Vision and Biomedical Image Analysis
Keyword
NSERC
Application summary
biomedical image analysis; computer vision; curvature regularization; graphical models; high-order combinatorial optimization; Markov Random Fields, Conditional Random Fields; segmentation; shape prior; structural labeling; vessel centerline detection
