Computational Vision and Imaging Technology Research Group

About the centre

The Computational Vision and Imaging Technology (CVIT) Research Group is an interdisciplinary research group providing a synthesis between the scientific disciplines associated with computational vision, image science, image engineering and visual science.

Read moreGo to About us page

Projects

Browse the range of projects undertaken by the Computational Vision and Imaging Technology Research Group. 

See all projects

computer board

Publications

  • A. Tsifouti, S. Triantaphillidou, M.-C. Larabi, G. Doré, E. Bilissi and A. Psarrou. A case study in identifying acceptable bitrates for human face recognition tasks, Elsevier, Signal Processing: Image Communication, 36(0), 14-28p, (2015).
  • A. Tsifouti, S. Triantaphillidou, M.-C. Larabi, G. Doré, E. Bilissi and A. Psarrou. The effects of scene content parameters, compression, and frame rate on the performance of analytics systems, Proc. SPIE 9396, Image Quality and System Performance XII, 93960X (January 8, 2015).
  • Fry E., Triantaphillidou S., Jarvis J. and Gupta G. (2015), Image quality optimization, via application of contextual contrast sensitivity and discrimination functions, Proc. IS&T/SPIE Electronic Imaging: Image Quality & System Performance XII, V.9396, 93960K. (Best Student Paper award).

See all publications

News

There is currently no news. Please check back at a later date or explore the main
Research News page.

Events

There are currently no events. Please check back at a later date or
See our past events.

Title
Our location

Computational Vision and imaging Technology Research Group
115 New Cavendish Street
London W1W 6UW

Contact Us

Contact Dr Sophie Triantaphillidou, the group's Director:

T: +44 (0)20 7911 5000 ext. 68312
E: [email protected]