The Centre for Vision Research (CVR)

The Centre for Vision Research (CVR) at York University is an international leader in human and machine vision research. Uniting researchers from psychology, computer science & engineering, biology and kinesiology & health science, work at the centre is highly interdisciplinary and collaborative, rooted in a fundamental research programme that merges techniques in human psychophysics, visual neuroscience and computational theory. Leading-edge facilities include a 3T fMRI scanner, a six-sided immersive virtual reality room, and a wide array of visuo-robotic platforms.

The CVR is home to a rich history of scientific discovery and technological innovation with real-world consequences. Our vision health research tackles the problems of strokes, migraines, brain disorders, autism and visual deficits in Canada’s aging population. Vision technology application areas include medical and assistive devices, visual security, search-and-rescue, 3D film, and augmented reality systems used in collaboration with NASA and the aerospace industry.

Contact Information
Teresa Manini
  • 416 736-5659
  • manini@cvr.yorku.ca
  • Visit Website
  • Centre for Vision Research - York University Room 0009, Lassonde Building, 4700 Keele Street Toronto, Ontario, M3J 1P3
Stay in Touch

Our Faculty

Robert Allison
Associate Professor

Robert Allison

Psychophysical and computational methods to study depth perception in natural and...
James Elder
Professor

James Elder

Computer Vision; Human Vision. James Elder received his PhD in Electrical Engineering...
Richard Hornsey
Professor

Richard Hornsey

Electro-optical instrumentation; Single-chip electronic cameras, such as CMOS Active...
Michael R. M. Jenkin
Professor

Michael R. M. Jenkin

Computer Vision, virtual reality and mobile robotics; Immersive displays. Michael...
Minas E. Spetsakis
Associate Professor

Minas E. Spetsakis

Visual motion estimation, scene structure analysis, navigation, egomotion; Image...
John K. Tsotsos
Distinguished Research Professor of Vision Science

John K. Tsotsos

Computational vision Computational Neuroscience Human Vision Artificial Intelligence...
Richard Wildes
Associate Professor

Richard Wildes

computer vision allied aspects of image processing, robotics and artificial intelligence...