The Sony EyeToy was launched onto the video games market five years ago. Since then, it has found its way into over 8 million homes worldwide. Using a small video camera plugged into a PlayStation, it tracks the player’s motion, allowing them to play games by moving their bodies rather than using a controller.
Sony Computer Entertainment Europe and Oxford Brookes University have established a Knowledge Transfer Partnership (KTP), aimed at transferring recent results in the academic community into gaming experience for camera based games. We are seeking a Research Associate to lead this 27 month project.
The main responsibility of the post holder will be to research and develop machine learning and computer vision methods and algorithms including:
· Hand tracking
· Interactive computer games
· Image Segmentation
with the aim of developing new camera based games based on this research for the EyeToy.
You should have:
· a good first degree in maths, engineering, physics or computer science
· a PhD or equivalent research experience in computer vision and machine learning
· strong academic and commercial knowledge of computer vision
· ability to research and develop new computer vision algorithms
· good C++
· strong mathematics
· a passion for computer games
You will be self motivated, organised and good at communicating. You should be able to create novel computer vision algorithms and turn these into production quality systems. You should be able to take direction and also contribute to the overall strategy and goals of the group.
Informal inquiries to:
Professor Phil Torr,
Department of Computing,
Oxford Brookes University,