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CALL FOR PAPERS
 
COMPUTER VISION and IMAGE UNDERSTANDING
 
Special Issue on 
UNDERWATER COMPUTER VISION AND PATTERN RECOGNITION
 
 
GUEST EDITORS: 
Vittorio Murino, University of Verona, Italy
Andrea Trucco, University of Genova, Italy
 
 
 
THEME 
Underwater vision is undoubtedly a very difficult and challenging problem,
regardless of the type of sensor used for image formation. The inherently
structureless environment and the difficulties caused by the nature of the
propagating medium have placed limitations on gaining an understanding of
the underwater world.  
However, there is growing interest in investigating and, above all, in
"understanding" the underwater scenes for many applications involving
physical, biological, geological, archaeological, and industrial issues.
This interest is currently increasing owing to the introduction of new and
smarter imaging sensors that allow us to recognize and interpret the
visualized scenes directly, as opposed to having to infer the structure
from the raw signals. 
Therefore, together with marine specialists, an increasing number of
Computer Vision and Pattern Recognition scientists is currently approaching
this environment and applying their expertise to discover new solutions to
the problems linked to underwater vision. 
This special issue aims to provide a comprehensive overview of the
state-of-the-art in this area.  
Our hope is to bring together in one place papers describing cutting-edge
research. 
 
  
 
TOPICS 
The special issue will aim at gathering all the current research work for
the understanding of the underwater environment, focusing on computer
vision and pattern recognition issues and considering the processing of
images acquired by EVERY KIND of imaging sensor (acoustical, optical, etc.). 
Possible topics for papers include, but are not limited to : 
 
- 2D and 3D Object Recognition 
- Shape Analysis and Shape from X 
- Range Image Analysis 
- Image Reconstruction and Restoration 
- Statistical, Syntactical and Structural Pattern Recognition 
- Pattern Analysis and Classification 
- Feature Extraction, Selection and Matching 
- Segmentation & Grouping 
- Low-Level Vision 
- Geometric Reasoning 
- AI Techniques 
- Energy Minimization Methods 
- Colour & Texture Analysis 
- Motion, Tracking and Stereo Analysis 
- Data Fusion and Multisensor Integration 
- Vision and Graphics 
 
 
 
SUBMISSION INSTRUCTIONS 
Five copies of your manuscripts should be submitted to the guest editors at
the address below. All manuscripts should conform to the standard format as
indicated in the Information for Authors of the COMPUTER VISION and IMAGE
UNDERSTADING journal http://RVL4.ecn.purdue.edu/~kak/cviu.html. 
 
Prof. V. Murino, Dr. A. Trucco
Dept. of Biophysical & Electronic Engineering (DIBE) 
University of Genova 
Via all'Opera Pia 11A, 16145 Genova, Italy 
Tel. +39 010 3532253, Fax +39 010 3532134 
e-mail: murino@ieee.org, trucco@ieee.org
 
Prospective authors are invited to send an email to murino@ieee.org
indicating their interest in submitting a paper and the specific topics
addressed.
 
 
 
IMPORTANT DATES 
Paper submission deadline: March 15, 1999
First set of reviews to authors: September 10, 1999
Revised manuscript due: November 20, 1999
Notification of final evaluation: January 30, 2000
Publication date: June, 2000
 
For further information, please contact : 
 
Prof. Vittorio MURINO  
Dipartimento Scientifico Tecnologico
Facolta' Scienze MM. FF. NN., Universita' di Verona
Ca' Vignal 2, Strada Le Grazie, 37134 Verona, Italy
Tel. +39 45 8098996,   Fax  +39 45 8098982
e-mail: murino@ieee.org
 
Dr. Andrea TRUCCO
Dept. of Biophysical & Electronic Engineering (DIBE)
University of Genova
Via all'Opera Pia 11A, 16145 Genova, Italy
Tel. +39 010 3532253, Fax +39 010 3532134
e-mail: trucco@ieee.org
 
  
 
CVIU WWW page: 
http://RVL4.ecn.purdue.edu/~kak/cviu.html
 
 
Underwater CV and PR Special Issue WWW page: 
http://www.dibe.unige.it/department/imm/spis-cviu.html
 
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