Special session at ESANN'2001 on Artificial_Neural_Networks and Early Vision Processing

Darryl Charles Darryl.Charles at ntlworld.com
Fri Oct 6 10:58:32 EDT 2000


Bruges (Belgium)
April 25-26-27, 2001

Call for submission of papers to a special session at ESANN2001 on
"Artificial Neural Networks and Early Vision Processing".

Organized by Darryl Charles and Colin Fyfe from the University of Paisley.

Submission of papers	8 December 2000
Notification of acceptance	5 February 2001
ESANN conference	25-27 April 2001

It is well known that biological visual systems, and in particular the human
visual system, are extraordinarily good at extracting deciphering very
complex visual scenes. Certainly, if we consider the human visual system to
be solving inverse graphic problems then we have not really come close to
building artificial systems which are as effective as biological ones. We
have much to learn from studying biological visual architecture and the
implementation of practical vision based products could be improved by
gaining inspiration from these systems.

The following are some suggested areas of interest:

Unsupervised preprocessing methods e.g. development of local filters,
edge filtering.

Statistical structure identification e.g. Independent Component
Analysis, Factor Analysis, Principal Components Analysis, Canonical
Correlation Analysis, Projection pursuit.

Information theoretic techniques for the extraction/preservation of
information in visual data.

Coding strategies e.g. sparse coding, complexity reduction.  Binocular
disparity.

Motion, invariances, colour encoding e.g. optical flow, space/time
filters.

Topography preservation.  The practical application of techniques
relating to these topics.

Submission to esann at dice.ucl.ac.be by the 8th December 2000.

ESSAN2001 web site http://www.dice.ucl.ac.be/esann

Darryl Charles and Colin Fyfe
darryl.charles at pailsey.ac.uk and colin.fyfe at pailsey.ac.uk
Applied Computational Intelligence Research Group
School of Information and Communication Technologies
University of Paisley
Scotland




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