CFP: Pattern Recognition Letters: Special Issue on Evolutionary Computer Vision and Image Understanding

[Stefano Cagnoni]

CALL FOR PAPERS

PATTERN RECOGNITION LETTERS
Special Issue on
Evolutionary Computer Vision and Image Understanding

http://cienciascomp.cicese.mx/CallxPapersPRL.htm

Guest Editors
Gustavo Olague, CICESE Mexico
Evelyne Lutton, INRIA, France
Stefano Cagnoni, Univ. degli Studi di Parma, Italy

Submission Deadline: September 30, 2004

In  the   last  years,  Evolutionary  algorithms  as   well  as  other
bio-inspired approaches have been shown  to be tools which can be used
effectively in  the development of systems (software  or hardware) for
Computer  Vision,  Graphics  and  Robotics techniques.  We  strive  to
provide  a  high  quality  special  issue on  behalf  of  the  Pattern
Recognition  Community,  which  illustrates  the  state-of-the-art  in
Evolutionary Computer Vision and Image Understanding.

We are soliciting papers on these  topics to appear in a special issue
of Pattern Recognition Letters.  Papers appropriate to this issue will
have theoretical  and experimental evaluation of  vision algorithms as
their central focus, with the application cutting across the following
areas, but which are not necessarily limited to:

1) Low-level vision

Evolutionary optimization, adaptation and learning algorithms for edge
detection,  image   segmentation,  figure-ground  separation,  texture
analysis, feature selection, shape-from-shading, denoising and surface
reconstruction.

2) High-level vision

Evolutionary  computation  for  object  recognition,  scene  analysis,
indexing and search of  model/image databases, and high-level learning
of symbolic descriptions.

3) Active vision

Evolutionary computation for autonomous vision-guided navigation, path
planning,  sensing strategies,  sensor  integration, visual  servoing,
vergence and gaze control,  hand-eye coordination, active tracking and
vision-guided task planning.

4) Neural vision

Evolutionary computation for  learning, adaptation and optimization of
neural network structure and topology for computer vision problems.

All submitted papers will be  reviewed according to the guidelines and
standards of Pattern Recognition Letters. All submissions will be peer
reviewed   for  originality,   significance,  technical   content  and
relevance to  the special issue. A  digital manuscript, as  well as, 5
hard-copies (not exceeding  20 double-spaced pages in 12  pt size font
including  figures and tables)  describing previously  unpublished and
original research should be submitted  to reach the guest editor on or
before September 30, 2004.

Dr. Gustavo Olague
Computer Science Department, Applied Physics Division
CICESE, Research Center, P.O. Box 434944, San Diego, CA., 92143-4944 USA
mailto:olague at cicese.mx
http://cienciascomp.cicese.mx/CallxPapersPRL.htm