University of Southampton

Computer Vision

Our main research areas in computer vision are biometrics, feature extraction and medical imaging. The main academic staff on the research team are Dr. John Carter, Dr. Sasan Mahmoodi, and Professor Mark Nixon. Currently, we have around 20 students and research staff working on various aspects of computer vision and image processing. Currently our team are working on projects which include: dynamic level sets, wavelet based ear biometrics, quality to improve biometrics, using gait to prime face recognition, context aware superpixels, texture feature extraction, 3D gait modelling and spoofing, 3D gait reconstruction, comparative soft biometrics, soft biometrics in computer vision, and on light based analogies for object extraction.

We collaborate here with the Institute of Sound and Vibration Research and with the Schools of Geography and of Psychology, together with international institutions. Our financial supporters have included the EPSRC, the EU, DARPA (USA), ARL (USA) and the UK Home Office together with industry. Our facilities include a well-stocked computer vision library, a compute cluster, storage servers and a vision laboratory and the biometric tunnel. You'll find our publications listed under the team’s students and academic staff; Mark'stextbook Feature Extraction and Image Processing in Computer Vision has just reached its 3rd Edition (Academic Press 2012). Naturally this page is space-limited and we have wider interests: you're welcome to contact us should you be interested in topics other than those listed here.

   

                      Biometrics                                 Feature Extraction                    Medical Imaging

 

 

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