VISION-LIST Digest 1990 03 01

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VISION LIST Digest

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Vision-List Digest	Thu Mar 01 10:23:53 PDT 90 

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Today's Topics: 

 3D IMAGE Reconstruction. 
 Pixar for image processing 
 range-hardware 
 Workshop: Adap. Neural Nets & Statistical Patt. Recog. 

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Date: Fri, 23 Feb 90 10:48:12 +0000 
From: P.Refenes@Cs.Ucl.AC.UK 
Subject: 3D IMAGE Reconstruction. 

Can anyone out there mention references about 3-D image 
reconstruction.  I am looking for the best review paper on techniques 
for 3D Image reconstruction. Failing that I could do with the second 
best, or with any paper or descent reference.  The particular problem 
that we have is to re-construct a 3-D image of slides of skin 
(histopathology). 

Thanks in advance. 

Paul Refenes 
Department of Computer Science 
University College London 
Gower Street, WC1 6BT. 

 
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Date: Fri, 23 Feb 90 09:35:07 CST 
From: fsistler@gumbo.age.lsu.edu 
Subject: Pixar for image processing 

I am using a Pixar II with a SparcStation 4/370 for image analysis and 
processing, and am trying to find a users group network where Pixar 
users communicate.  Can anyone tell me if such a group exists, and how 
I can join? 

I would appreciate any help that anyone would offer. 

Fred Sistler 
Louisiana State University 

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Date: Wed, 28 Feb 90 11:37:02 est 
From: "Y." (Greg)Shiu <yshiu@thor.wright.edu> 
Subject: range-hardware 

Does anybody know of companies that sell dense ranging devices, using 
time of flight or triangulation? And what are their approximate prices? 

I have heard that ranging system are expensive (around 100K),  
so I may want to buy a plane laser projector for building my own  
triangulation based range sensor but I dont know which companies  
sells plane laser devices. 

   Greg Shiu 
   Department of Electrical Engineering 
   Wright State University, Dayton, OH 45435 
   phone: (513) 873-4254 
   email: yshiu@cs.wright.edu 

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Date: Mon, 26 Feb 90 19:08:29 EST 
From: flynn@pixel.cps.msu.edu (Patrick J. Flynn) 
Subject: Workshop: Adap. Neural Nets & Statistical Patt. Recog. 

                                 Workshop on 
              Artificial Neural Networks & Pattern Recognition 

                                Sponsored by 
        The International Association for Pattern Recognition (IAPR) 

                                 Sands Hotel 
                          Atlantic City, New Jersey 
                                June 17, 1990 
  

Recent developments in artificial neural networks (ANN's) have caused a 
great deal of excitement in the academic, industrial, and defense 
communities.  Current ANN research owes much to several decades of work 
in statistical pattern recognition (SPR); indeed, many fundamental 
concepts from SPR have recently found new life as research topics when 
placed into the framework of an ANN model. 

The aim of this one-day workshop is to provide a forum for itneraction 
between the leading researchers from the SPR and ANN fields.  As 
pattern recognition practioners, we seek to address the following 
issues: 

**In what ways do artificial neural networks differ from the well-known 
paradigms of statistical pattern recognition?  Are there concepts in 
ANN for which no counterpart in SPR exists (and vice versa?) 

**What benefits can come out of interaction between ANN and SPR researchers? 

**What advantages, if any, does ANN techniques have over SPR methods in 
dealing with real world problems such as object recognition, pattern 
classification, and visual environment learning? 

                              Tentative Program 

 8:00 Registration 
 8:30 Issues in ANN and SPR, Laveen Kanal, University of Maryland 
 9:15 Links Between ANN's & SPR, Paul Werbos, National Science Foundation 
10:00 Coffee Break 
10:30 Generalization & Discovery in Adaptive Pattern Recognition, Y. Pao, 
      Case Western Reserve University 
11:15 Character Recognition, Henry Baird, AT&T Bell Labs 

12:00 LUNCH 

 1:30 Target Recognition, Steven Rogers, U.S. Air Force 
 2:15 Connectionist Models for Speech Recognition, Renato DeMori, McGill 
      University 
 3:00 Coffee Break 
 3:30 Panel Discussion,  Moderators: Anil Jain, Michigan State University & 
      Ishwar Sethi, Wayne State University 

Registration Information: 
  Advance Registration (by 5/15/90): $100 
  Late Registration: $120 

Contact:    Ms. Cathy Davison (Workshop on ANN and PR) 
            Department of Computer Science, A-714 Wells Hall 
            Michigan State University, East Lansing, MI 48824 
            Tel. (517)355-5218, email: davison@cps.msu.edu, FAX: (517)336-1061 

 
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