Grant: Canada Research Chairs
Simon Fraser University
$120,000.00
Computer Graphics
EF 2021-22
Résumé
The proposed research will develop algorithms that connect the 3D structure of interiors with human actions. Capturing this connection is useful for recognizing and predicting how people interact with objects, and for enabling efficient design and generation of interactive virtual 3D representations of interiors and human actions. These 3D representations are used in architectural visualization, visual effects production for games and films, virtual and augmented reality, ergonomics analysis, as well as 3D scene understanding and AI research. Ultimately, algorithms that generate human-centric 3D scenes will have tremendous economic and social impact in these domains.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2019-00298
Name nom
Savva, Manolis
Department département
School of Computing Science - Simon Fraser University
Organization id
5
Institution établissement
Simon Fraser University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2019
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:2-1
Partie
1
Nb partie
2
Application title
Computer Graphics
Keyword
NSERC
Application summary
The proposed research will develop algorithms that connect the 3D structure of interiors with human actions. Capturing this connection is useful for recognizing and predicting how people interact with objects, and for enabling efficient design and generation of interactive virtual 3D representations of interiors and human actions. These 3D representations are used in architectural visualization, visual effects production for games and films, virtual and augmented reality, ergonomics analysis, as well as 3D scene understanding and AI research. Ultimately, algorithms that generate human-centric 3D scenes will have tremendous economic and social impact in these domains.