Eighth Annual EPSRC Summer School on Computer Vision

University of Surrey, Guildford

17 - 21 June 2002

GENERAL

This intensive course is aimed at postgraduate research students in the
areas of Computer Vision, Image Processing and Pattern
Recognition. It is sponsored by the Engineering and Physical Sciences
Research Council (EPSRC) and organised with the
assistance of the British Machine Vision Association and Society for
Pattern Recognition (BMVA).

OBJECTIVES

The course is residential, spanning five days (midday Monday to midday
Friday), and consists of lectures, tutorials and
practicals on diverse topics in computer vision, image processing and
pattern recognition. It is intended that the course will
complement existing technical lecture course material that most students
meet in the first year of their postgraduate
training. It will provide an opportunity to broaden awareness of
available vision, image and pattern recognition techniques
and to develop skills in research methodology. The course will mix state
of the art presentations from acknowledged UK experts
with group work, case studies and practical exercises.

COSTS

For EPSRC sponsored research students the course is FREE. The
registration fee for non-EPSRC students will be 500 pounds. A
limited number of bursaries to meet half the non-EPSRC student costs
will be available courtesy of the BMVA.

APPLICATION PROCEDURE

The number of places is limited and therefore participants will be
selected on the basis of their experience and suitability
to benefit from the course. Priority will be given to students in the
first or second year of their postgraduate study.
Applicants must provide brief details of their research area and a
statement of the benefit of the course to their research.
An endorsement is required from the student's research supervisor.
Applicants will be advised of the fate of their
application as soon as possible but by mid May at the latest.

A WWW based application form can be found at:

        http://www.ee.surrey.ac.uk/CE/epsrcss.html

        http://www.bmva.ac.uk/summer/index.html


PRELIMINARY PROGRAMME

State of the Art Reviews

Biological vision systems. Image acquisition and image modelling.
Filtering, feature extraction and perceptual grouping.
Statistical pattern recognition and decision making methods. 3D object
recognition and reconstruction. Motion analysis.
Theories of high-level vision.

Research Methodology

The art of literature review. Ad-hoc techniques versus a framework-based
methodology. Model development. Experiment design.
Statistical analysis. Robust estimation. Performance characterisation.
Research work reporting and presentation.

Project Management

Planning: project formulation, research problem identification,
definition of research objectives. Work-programme definition,
methods to be used. Experimental evaluation. Work-programme schedule and
monitoring. Programme revision. Cooperation and
collaboration.

Case Studies

Illustration of methodology development on the problem of edge detector
design. Medical/industrial application case studies.

Support Tools

Image processing environments. Image processing algorithm libraries.
Public domain software. Software sharing, and ethics.
Software tools. Standardisation. Visualisation. System/software
integration.

Hands on Experience

The school programme will offer ample opportunity for the active
involvement of the participants in group activities, personal
research project presentation and experimentation using Unix based
workstations.