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
 
Extended Deadline: October 31, 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 figures and tables) describing previously unpublished and original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@cicese.mx
 http://cienciascomp.cicese.mx/CallxPapersPRL.htm