Research Studentship in Web-based Telepresence using Remote Cameras
School of Computer Science and Electronic Systems
Kingston University
This collaborative project with a large central London museum will
be supervised within the Computer Vision research group of the
School of Computer Science and Electronic Systems at
Kingston University. It will seek to combine our expertise in
computer vision with techniques in computer graphics and
virtual reality to combine virtual environments recovered from
video sequences with remote cameras to enable a virtual presence
of remote locations. This area which currently enjoys a high degree
of research effort, has an enormous range of potential
applications with Web interaction, fire and security
virtual patrolling, special effects for films and DIY interior
design being the most obvious.
The initial focus of the telepresence project will be to develop
new exciting Web-based virtual visit prototype at a large
central London museum. The primary goal will be to integrate
live video from multiple cameras with a VRML module to enhance
user control of the remote cameras. Later interactive
user-driven methods of recovering the three dimensional structure
of scenes will be developed to automate the process of
building telepresence environments.
As well as developing Web pages with the latest interactive Java
and VRML tools, this project is expected to draw on a number
of techniques from computer vision and computer graphics
including feature segmentation and tracking, structure-from-motion
and estimation and segmentation of optical flow.
The successful candidate will be supported by a strong and
experienced supervision team draw from the Computer Vision Group
which enjoys particularly close ties with local Web design
and post-production industries. The Computer Vision Group
has developed its research expertise in areas are diverse as
automated visual surveillance, cinematographic special
effects, industrial inspection and remote sensing.
Research duties will involve:
* Investigation and development of machine vision and graphics
algorithms.
* Programming of demonstration software in C/C++.
* The dissemination of results and the promotion of the
Schools' reputation through conference and journal publications.
* Collaboration with industrial and academic partners associated
with this project.
* Assisting in the development of grant applications for future
projects.
Person Specification:
The candidate should have a first/upper second class degree in
a mathematical, computer science or related discipline. Experience
of programming C, C++ or JAVA, and exposure to VRML and Web
page design would be an advantage. The post will involve
collaboration with other members of the Computer Vision research
group as well as other academic and industrial partners.
Consequently, the candidate should be able to work well in a
team, have well developed verbal and written communication skills,
and be able to manage their time effectively given their wide range
of responsibilities.
At present, the bursary is for £7060 per annum paid quarterly
in advance.
For further information please contact:
Dr Graeme Jones
Reader in Computer Vision
School of Computer Science and Electronic Systems
Kingston University
Penrhyn Road
Kingston, Surrey, KT1 2EE
Telephone 0181 547 7669
Email [log in to unmask]
http://manx.king.ac.uk/research/
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