| CARVIEW |
Select Language
HTTP/2 200
server: GitHub.com
content-type: text/html; charset=utf-8
last-modified: Thu, 18 Sep 2025 20:37:29 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"68cc6d89-2815"
expires: Sun, 28 Dec 2025 19:15:40 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 91E5:21D6A4:7FFCAC:8F6670:69517F84
accept-ranges: bytes
age: 0
date: Sun, 28 Dec 2025 19:05:40 GMT
via: 1.1 varnish
x-served-by: cache-bom-vanm7210038-BOM
x-cache: MISS
x-cache-hits: 0
x-timer: S1766948740.282085,VS0,VE211
vary: Accept-Encoding
x-fastly-request-id: d2eb8da6ec7815cb033300996e1b4f69163bc3ac
content-length: 3447
Computational Vision and Imaging Lab
Computational Vision and Imaging Lab
Toronto, Ontario, CA
CVIL@York conducts research on problems in computer vision and imaging with a particular focus on low-level image processing, medical/biological imaging, motion analysis and other research areas.
Faculty and students are part of the Department of Electrical Engineering and Computer Science in Lassonde School of Engineering at York University. Students interested in joining the lab should apply to the EECS Graduate Program.
CVIL@York is affiliated with the Centre for Vision Research and funded in part through the Vision: Science to Applications (VISTA) program. The CVIL@York faculty also gratefully acknowledge the financial support of the Natural Sciences and Engineering Research Council of Canada.