About the Computer Vision Lab
The Computer Vision Lab (CVL) is a multidisciplinary group performing basic and applied research in image manipulation, image analysis, computer vision and related areas of machine learning.
CVL was established in 2014 and is now the home of 30+ academics, research assistants, interns and PhD students.
Our goal is to develop novel and efficient techniques for the extraction of quantitative descriptions of viewed objects from a variety of images and image sequences. We also seek to translate those techniques into high quality software tools that can be used to address real world problems.
A key characteristic of the Computer Vision Laboratory is its high level of engagement with other disciplines. We have strong links with colleagues in the Schools of Biosciences, Medicine, Engineering and with other Computer-Science-based labs such as Horizon and the Mixed Reality Laboratory
The CVL has collaborated with and received research funding from a variety of partners including ESPRC, BBSRC, the Bill and Melinda Gates Foundation, ARPA-E and the EU.
For details of our current activities, visit our Selected Publications and Projects pages.
*** NEW *** POSTDOCTORAL POSITION: Analysis of light-sheet microscope Images
*** NEW *** INDUSTRIALLY FUNDED POSTDOCTORAL POSITION: Image analysis via deep machine learning