Grant: Project Grant
Research Institute of the McGill University Health Centre
$592,875.00
Cortical mechanisms of 3-D scene and object recognition in the primate brain
FY 2016-17
Summary
We have no trouble recognizing objects around us but computers are generally very bad at this. The key difference between us and computers is that for us, an object stays the same even if the lighting, colours, viewing angles, or textures of the object change. Another key difference is that our brain can use the 3-D shape of the object, which stays the same even if the scene image changes. The studies proposed here are aimed at understanding how the 3-D shapes of objects are represented in the brain. The results are fundamental for an understanding of how the brain represents objects, faces, and scenes, which together form the very basis of our visual experience. The knowledge gained here will guide both computer models and algorithms for object recognition, as well as treatments for acute and chronic neurological disorders that affect face and object recognition.
Department
Program
Project Grant
Location
Quebec, Canada
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
358463
Name
Farivar-Mohseni Reza
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Project Grant Competition
Projecttitle
Cortical mechanisms of 3-D scene and object recognition in the primate brain
Programtype2
Operating Grants
Orgnameinp2
Research Institute of the McGill University Health Centre
Cihramount2
$592,875
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
3-D Vision; Cortical Models; Cortical Pathways; Dorsal; Face Recognition; Object Depth; Object Recognition; Recognition Deficits; Ventral; Vision
Abstract
We have no trouble recognizing objects around us but computers are generally very bad at this. The key difference between us and computers is that for us, an object stays the same even if the lighting, colours, viewing angles, or textures of the object change. Another key difference is that our brain can use the 3-D shape of the object, which stays the same even if the scene image changes. The studies proposed here are aimed at understanding how the 3-D shapes of objects are represented in the brain. The results are fundamental for an understanding of how the brain represents objects, faces, and scenes, which together form the very basis of our visual experience. The knowledge gained here will guide both computer models and algorithms for object recognition, as well as treatments for acute and chronic neurological disorders that affect face and object recognition.
Competitiondate
201610
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Farivar-Mohseni, Reza
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $592,875~ $0~
