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VISION-LIST Digest 1990 03 01
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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