Grant: Canada Research Chairs
York University
$200,000.00
Computer Vision
EF 2023-24
Résumé
This research program aims to improve the understanding of the physical world through camera images by: (1) investigating image formation models that describe how incoming light (i.e., physical scene irradiance) is converted to camera sensor responses under different imaging scenarios and (2) designing novel in-camera imaging pipelines that produce image outputs suitable for both photographic and scientific tasks. Dr. Brown¿s program is strongly aligned with York University¿s $33.3 million Canada First Research Excellence Fund program, Vision: Science to Applications (VISTA), which focuses on research in biological and computational computer
vision.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2017-00203
Name nom
Brown, Michael
Department département
Electrical Engineering and Computer Science (EECS) - York
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2017
Award amount
200000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR 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
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Computer Vision
Keyword
Computer Vision
Low-level computer vision
image formation models
in-camera processing
camera pipelines
physics-based computer vision
Application summary
This research program aims to improve the understanding of the physical world through camera images by: (1) investigating image formation models that describe how incoming light (i.e., physical scene irradiance) is converted to camera sensor responses under different imaging scenarios and (2) designing novel in-camera imaging pipelines that produce image outputs suitable for both photographic and scientific tasks. Dr. Brown¿s program is strongly aligned with York University¿s $33.3 million Canada First Research Excellence Fund program, Vision: Science to Applications (VISTA), which focuses on research in biological and computational computer
vision.