[visionlist] MSc in Computer Vision in Queen Mary University of London

[Ioannis (Yiannis) Patras]

MSc course in Computer Vision,
School of Electronic Engineering and Computer Science, Queen Mary 
University of London
URL: http://www.eecs.qmul.ac.uk/teaching/pg/H6J5

Starting in Fall 2012


What if your smartphone could recognise that it was you before switching 
on, and could sense your mood by recognising your facial expressions? 
What if you could use a real thumbs-up for 'liking' things on Facebook? 
How can you play games on an Xbox using only your body gestures? How can 
you equip cars with in-vehicle technology that could automatically read 
road signs? These are just some of the fascinating questions that you 
will strive to answer on this programme.


Programme outline

This programme is intended to respond to a growing skills shortage in 
research and industry for engineers with a high level of training in the 
analysis and interpretation of images and video. It covers both 
low-level image processing and high-level interpretation using 
state-of-the-art machine learning methodologies. In addition, it offers 
high-level training in programming languages, tools and methods that are 
necessary for the design and implementation of practical computer vision 
systems.

Degree structure

Machine Learning -  Advanced Transforms - Computer Graphics - Computer 
Vision and Neural Nets - C++ for Image Processing - Techniques in 
Computer Vision - Artificial Intelligence - High Performance Computing - 
MSc project


Why study with us?

National/International outlook: With more than 70 researchers in two 
research groups, we are one the largest teams in the UK in the field of 
Computer Vision. You will be taught by academics that perform 
world-class research in the fields of Multimedia Analysis, Vision-based 
Surveillance, Structure from Motion and Face and Gesture Recognition.

Hands-on experience: Apart from lectures, you will work on a practical 
final project. We offer a wide range of cutting edge research projects 
as well as industry-related projects.

Continuing onto work/research: You will be provided with skills and 
knowledge that will prepare you for a career either in industry or in 
further research.

Location: Our location, in the heart of London's East End, offers an 
incredibly rich and diverse cultural environment.



More information on our research can be found at:
http://www.elec.qmul.ac.uk/mmv/
http://www.dcs.qmul.ac.uk/researchgp/vision


More information about the program and information on how to apply can 
be found at
http://www.eecs.qmul.ac.uk/teaching/pg/H6J5

More information about Queen Mary, University of London
http://www.qmul.ac.uk/about/welcome/index.html

-- 
Dr. Ioannis Patras
School of Electronic Engineering and Computer Science
Queen Mary, University of London
Tel. +44 20 7882 7523 Fax: +44 20 7882 7997
www.eecs.qmul.ac.uk/~ioannisp/