Date: 24 May 90 14:24:16-PST
From: Vision-List moderator Phil Kahn <Vision-List-Request@ADS.COM>
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Vision-List Digest	Thu May 24 14:24:16 PDT 90

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Today's Topics:

 3D Visualization Tool (DTI 100M)
 Re:  lenna
 looking for card for PC
 Objects in the collision course...(data requested)
 ANN Workshop in Atlantic City, Jun 17 1990

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Date: Wed, 23 May 90 10:34:36 EDT
From: brown@ewd.dreo.dnd.ca (Allen Brown)
Subject: 3D Visualization Tool (DTI 100M)

Can anyone comment on a product from Dimension Technologies Inc. (16
Anderson Ave, Rochester, NY 14607) called the DTI 100M.  It is a PC-based
visualization tool that uses a Yamaha DisplayMaster VGA card, and
it is supposed to produce "clear, bright, autostereoscopic images".
(I'm not sure that I understand what an autostereoscopic image is;
the advertising indicates that no special glassess are required.)

Has anyone purchased this device? Can anyone describe the technique used?

With thanks,

Allen Brown
Defence Research Establishment Ottawa
Ottawa, CANADA K1A 0Z4
brown@ewd.dreo.dnd.ca 

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Date: Tue, 22 May 90 15:49:32 EDT
From: bloomer@mozart.crd.ge.com
Subject: Re:  lenna

[ This is a new addition to the Vision List image archive...  
			phil...	]

lenna.[rgb].ras - the RGB components of a 480x512x8 Sun
rasterfile scanned image of Lenna - the woman with the hat,
as scanned from (I'm told) a certain men's magazine about a
decade ago.  Lenna is currently a bar maid somewhere in
Europe.

John J. Bloomer <jbloomer@crd.ge.com, bloomer@mozart.crd.ge.com>

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Date:         Thu, 24 May 90 13:20:51 +0300
From: Michel Assenheimer <FNASSEN%WEIZMANN.BITNET@CUNYVM.CUNY.EDU>
Subject:      looking for card for PC

Hello,

I am looking for a card for a PC which allows, when working together
with a frame grabber, to write images in DIGITAL form onto a normal
video tape recorder. The card should also be able to retrieve the
digitally stored images from the video tape to a monitor (PAL/CCIR).
The card should preferably be able to do the job in real time.

Anyone who can provide me with names of companies, card descriptions
and/or prices, please mail the information to:

    Michel Assenheimer
    e-mail : <FNASSEN@WEIZMANN.BITNET>
          or <FNASSEN@WEIZMANN.WEIZMANN.AC.IL>

Thanks,

 Michel Assenheimer

------------------------------

Date: Wed, 23 May 90 08:07:45 +0300
From: Dario Ringach <dario%TECHUNIX.BITNET@CUNYVM.CUNY.EDU>
Comments:  Domain style address is "dario@techunix.technion.ac.il"
Subject: Objects in the collision course...(data requested)

I'm looking for real data of objects in collision course with a moving
camera.  I accept both 'moving camera in a static environment' and 'moving
camera in a dynamic environment' cases. The objects should be preferably
bounded in the image (meaning, that we can see the whole object in all the
frames).

Thanks in advance!

Dario.

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Date: Tue, 22 May 90 19:26:40 EDT
From: raja@pixel.cps.msu.edu (Narayan S. Raja)
Subject: ANN Workshop in Atlantic City, Jun 17 1990

                                 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 interaction between
the leading researchers from the SPR and ANN fields.  As pattern recognition
practitioners, 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, do 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, Nat'l Sci. 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 and 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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