Call for Papers
 
 IEEE Workshop on Computer Vision Beyond the Visible Spectrum:
                  Methods and Applications
            
                      June 21-22, 1999
                   Fort Collins, Colorado
 
 Workshop Web Site: http://www.htc.honeywell.com/CVBVS99
 
 Organizing Committee
 
 General Chairs: Robert Hummel (DARPA), Ioannis Pavlidis (Honeywell)
 
 Technical Program Committee:
 
Bir Bhanu (University of  California, Riverside) Technical Program Chair,
 
J. K. Aggarwal (University of Texas at Austin) ,
Kevin Bowyer (University of South Florida),
Rama Chellappa (University of Maryland),
Helmuth Eggers (Daimler-Benz AG),
Steve Fornaca (TRW), 
Paul Gader (University of Missouri),
Glenn Healey (University of California, Irvine),
Martin Herman (National Institute of Standards),
Thomas Huang (University of Illinois),
Donald Gerson (TRW),
Larry Matthies (Jet Propulsion Laboratory),
Robert McMillan (U.S. Army Space and Missile Defense Command),
Nasser Nasrabadi (Army Research Laboratory),
Ram Nevatia (University of Southern California),
Nikos Papanikolopoulos (University of Minnesota),
Firooz Sadjadi (Lockheed Martin),
Bruce Schachter (Northrop Grumman),
Dean Scribner (Naval Research Lab),
M. Adel Slamani (Stiefvater Consultants),
Peter Symosek (Honeywell),
Kenneth W. Tobin (Oak Ridge National Laboratory),
Vincent J. Velten (Air Force Research Laboratory)
Jacques Verly (MIT Lincoln Lab),
Lawrence Wolff (Johns Hopkins University),
Ed Zelnio (Air Force Research Laboratory)

Industry Liaison: Mike Bazakos

 Description and Rationale for the Workshop
 
 Traditionally, the majority of the computer vision community has been
 involved implicitly or explicitly with the development of algorithms
 associated with visible range sensors. Imaging sensors from other ranges
 of the electro-magnetic (EM) spectrum were used only in special
 applications (e.g. medicine, military). There are a number of reasons
 for this situation: low cost and availability of visible imaging
 sensors, strong links between the computer vision research and the human
 vision research, and lack of consideration of the potential advantages
 other EM spectra may offer. 
 
 Recently, the cost of near and mid infrared (IR) sensors has dropped
 dramatically.  New imaging sensors that operate in the millimeter wave
 (MMW) band of the EM spectrum have started to appear in a growing number
 of applications. Image sensing devices that were once suitable only for
 military and remote sensing applications now find their way into more
 common areas like transportation and security vision based systems.
 Application of these new sensing modalities into a wide variety of
 computer vision systems necessitates either the adaptation of methods
 and algorithms originally developed for the visible range or the
 development of entirely new methods and algorithms. 
 
 The proposed workshop will bring together pioneering researchers in the
 field and give an accurate picture of the current state of the art.
 Emphasis will be given to new and traditional application areas where
 non-visible range sensors can help solving hard challenges posed to
 computer vision since its inception. Also, emphasis will be placed on
 comparative evaluation studies across the EM spectrum for a given
 computer vision task. The workshop will serve as a showcase of new and
 adapted algorithms and methods appropriate for ranges beyond the
 visible. In this context, fusion approaches that combine more than one
 sensing modalities to reduce ambiguity are of special interest. 
 
 Applications from the commercial domain as well as military applications
 with technology transfer potential are especially welcome. The rationale
 is to bring computer vision scientists in touch with exciting new
 possibilities on how to solve traditionally hard problems and how to
 expand on new application territory using non-visible range sensors.
 Sensors of interest include X-rays, infrared, millimeter wave, laser
 radar, synthetic aperture radar, and hyper-spectral. Original papers are
 solicited in, but not limited to , the following technical areas:

Object Recognition
Object Detection and Tracking
Scene Understanding
Segmentation
Motion
Registration
Fusion
Military Applications
Commercial Applications
Comparative Evaluation
  
 Paper Submission
 
 Four copies of complete manuscript should be received by February 1,
 1999 at the following address:
 
 Prof. Bir Bhanu
 College of Engineering
 Bourns Hall
 University of California
 Riverside, CA 92521 USA
 Tel.   909 787-3954
 Fax    909 787-3188
 Email bhanu@cris.ucr.edu
 
 Papers should include:
 
 (a) A title page containing the names and addresses of the authors
 (including email), an abstract of up to 200 words, and one or more
 categories as listed above or other keywords.  
 (b) A second title page containing title and abstract only, to allow for
 double blind reviewing, and 
 (c) The paper, limited to 24 double-spaced pages (12 points, 1 inch
 margins), including figures and references. 
 
 Accepted papers will be published in the proceedings of the Workshop. An 
 award of  $1,000 will be given to the authors of the best paper for the 
 workshop.

http://www.htc.honeywell.com/CVBVS99