Date: 20 Aug 92 11:39:20-PST
From: Vision-List moderator Phil Kahn <Vision-List-Request@ADS.COM>
Errors-to: Vision-List-Errors@ADS.COM
Reply-to: Vision-List@ADS.COM
Subject: VISION-LIST digest 11.29
To: Vision-List@ADS.COM

VISION-LIST Digest    Thu Aug 20 11:39:20 PDT 92     Volume 11 : Issue 29

 - Send submissions to Vision-List@ADS.COM
 - Vision List Digest available via COMP.AI.VISION newsgroup
 - If you don't have access to COMP.AI.VISION, request list 
   membership to Vision-List-Request@ADS.COM
 - Access Vision List Archives via anonymous ftp to FTP.ADS.COM

Today's Topics:

 Re: Frame grabber boards
 Computing MTF of a digitizer
 References on 3D representations for grasp planning of a trash bag
 Looking for a database
 Looking for Aspect-Graph like software 
 Lecturer post in AI
 PhD student position available
 CFP: Geometric Methods in Computer Vision
 CFP: Machine Vision and Robotics Conference
 CFP: Sensor Fusion and Aerospace Applications
 CFP: Workshop on Two and Three Dimensional Spatial Data
 Technical Report abstracts

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

Date: Sun, 16 Aug 1992 11:32:37 GMT
From: jonallen@acsu.buffalo.edu (Jon J. Allen)
Subject: Re: Frame grabber boards

Vision-List@ads.com writes:
>We are interested in purchasing a DataTranslation QuickCapture
>frame grabber board for the PC AT.
>Anybody have any experience with this board (advantages and
>disavantages etc...).
>Thanks,
>olivier@curacoa.cs.jcu.edu.au

DT offers the highest quality frame grabbers of the many that I have tested.

The new DT QuickCapture is a good low cost board.  I am a software engineer,
and look at boards differently than most users.  

The QuickCapture makes use of the AT port memory, which makes it easy to
read and write to in DOS.  If speed is not a problem, and you don't
need a data overlay, then this board is very good.

I have been programming the DT2853 Low Cost frame grabber for a few years
now.  This is about $100 less than the QuickCapture and offers a hardware
cursor and maps its video image directly into the AT's high memory.  This
makes it faster to get the data, but MUCH harder to read form DOS.  
To read the data, I use a 32-Bit DOS extender.

As an expert in machine vision programming, I find that there is next to
no software that you can buy to exactly what you want.  So, look at your
needs.  If all you are doing is taking pictures using MS Windoes, then
the QuickCapture is the best choice.  If you are doing real-time work
and need to read your data at high speed or need to overlay data
at high speed, then you have to look a bit harder.

Jon-J-Allen--jonallen@acsu.buffalo.edu--Computer-Science--SUNY-@-Buffalo-NY--
 "Imagination's all I have, But even then you say it's bad.
  Just can't see why we disagree." - SUPERTRAMP

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

Date: Thu, 20 Aug 1992 12:32:01 GMT
From: hwang@cortez.mitre.org (Vincent Hwang)
Organization: The MITRE Corporation
Subject: Computing MTF of a digitizer

	I need to compute the modular transfer function of a digitizing 
system. This value (the fourier spectrun of the response of the digitizing
system to an impulse signal) provides some handle on the sharpness of the
digitizing system. This is useful in finding out whether the lens based 2D
digitizer provide sufficient sharpness.

	Questions:
1. Any suggestion on how to compute the MTF and what's the procedure (I 
	want the MTF of the scanner, not the MTF of the display/hardcopy)
2. Any other measurement one might use to measure the sensor sharpness?

	Thank you.

Vincent Hwang (vhwang@mitre.org)

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

Date: Thu, 20 Aug 92 09:11:43 PDT
From: jeh@windrider.llnl.gov (Jose E. Hernandez)
Subject: References on 3D representations for grasp planning of a trash bag

Hi,

  I am looking for references (or software) on 3D representations suitable for
grasp planning from range (or stereo) images.  Specifically for grasping an
object like a trash bag.

thank you!
Jose E. Hernandez
Lawrence Livermore National Laboratory
L-156  POBox 808 Livermore, CA 94550
Email: jeh@llnl.gov
Phone: (510) 423-2160
Fax: (510) 422-3013

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

Date: Fri, 14 Aug 92 7:29:16 GMT
From: "Z Y M. Zhou" <Yiming.Zhou@bristol.ac.uk>
Subject: Looking for a database

Hello everyone.

I am looking for a free massive database of pixeled decimal digitals (0-9). If 
anybody knows where it can be found in public domain, please let me know 
directly by E.mail (Yiming.Zhou@uk.ac.bristol).

Thank you in advance.

Dr. Y. Zhou
Information Technology Research Centre 
Department of Engineering Mathematics
University of Bristol
Bristol, England

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

Date: Tue, 11 Aug 1992 23:19:53 -0400
From: "Chennubhotla C. S." <chakra@iris.psu.edu>
Subject: Looking for Aspect-Graph like software 

Hi:

Looking for aspect-graph like software that can:
1)take as input: a 3D model in say, triangular facet representation
2)project 3D models to 2D images (silhouettes) as viewed from
  a viewing sphere
3)extract features, say corners, on these silhouettes and associate them
  to the 3D corners on the model
Prefer the software to be running on a Sun machine. 

Thanks in advance,

chakra
(chakra@iris.psu.edu)

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

Date: Fri, 14 Aug 1992 11:10:24 GMT
From: vassilis@sun.pcl.ac.uk (Vassilis Konstantinou)
Organization: Polytechnic of Central London
Subject: Lecturer post in AI

             LECTURER POST IN ARTIFICIAL INTELLIGENCE

             AI DIVISION - SCHOOL OF COMPUTER SCIENCE
		  The University of Westminster


Applications are invited for a Lecturer post in AI to support the
expanding AI  Division  in  our  school.  The  division currently
supports, a B.Sc. in AI, an M.Sc. in Cognitive  Science,  and  an
M.Sc. in Knowledge Engineering. The division also includes a very
active AI Research Group.

The  successful  applicant  is  expected  to  contribute  in  the
teaching of the  above  courses  in  one or more of the following
areas:
     a)   Distributed AI/KBS
     b)   Machine Learning
     c)   Scheduling
     d)   AI-related languages (PROLOG, LISP etc)
     e)   Human Computer Interaction
     f)   Natural Language Understanding
     g)   Alternative Logics (Modal, Temporal etc)
     h)   Computer Vision 

The successful applicant is also  expected  to  contribute  in the
research activities of the AI Research Group.

Applicants for this post must possess:
      1)  Postgraduate qualifications (preferably at Ph.D. level)
          in an AI related area.
      2)  Research experience in an AI related area.
Teaching experience will be an advantage.

The post is  temporary  for  one  year  (full-time)  and  will be
reviewed at the end of the one year period.

To apply send an extensive C.V. to:

        V. Konstantinou
        Head of AI Division
        School of Computer Science
	University of Westminster
        115 New Cavendish Str
        London W1M 8JS, UK.

        Tel: 071-911-5000 ext 3599/3598
        Fax: 071-911-5089
        Email:  vassilis@uk.ac.sun.pcl (JANET)
                vassilis@pcl.sun.ac.uk (Internet)


The deadline for applications is the 30th of August 1992.
V. Konstantinou
Head of A.I. Research Group
School of Computer Science, The Polytechnic of Central London

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

Date: Tue, 18 Aug 1992 16:18:15 +0200
From: "(Hans DU BUF)" <dubuf@sicsun.epfl.ch>
Organization: Ecole Polytechnique Federale de Lausanne
Subject: PhD student position available

OPENING FOR A PhD STUDENT IN IMAGE PROCESSING

I have an opening for a PhD student, starting 1st of October, for 2
years now but with the possibility of a prolongation, probably to 4
years in total. The project is funded by the Swiss National Science 
Foundation. The subject concerns the development of a multiscale image
analysis system which produces a syntactical/geometrical representation
allowing for a very precise image resynthesis. Keywords are: scale space,
2D quadrature filtering, phase responses, line/edge/vertex detection,
response interferences, ambiguities, and context processing.

The candidate *must* have followed courses in signal and image processing,
and preferably done his master's project in this domain. Some insight into
visual psychophysics and/or visual neurophysiology wouldn't be bad.
Programming: FORTRAN is a pro, C not per se, maybe some experience with
LATEX, MATHEMATICA, or MATLAB. UNIX of course.

The starting salary is about 60K SwissFR per annum, which makes somewhat
less than 4K (3750, say) net per month, depending on age.

The Signal Processing Laboratory of the Swiss Federal Institute of Tech-
nology is well equipped with powerful workstations, quite some software
packages, and for the heavy jobs we have our CRAY-2 and Y-MP on campus.
There is not a real campus because we lack student lodging (all students
and up live in Lausanne and nearby villages). Lausanne is situated at what
is called the Swiss Riviera, with a view on the Geneva lake and the French
alps. See your nearby tourist office for more details. One important
detail: Lausanne is located in the French-speaking part of Switzerland.
The language in the lab is English because of the many nationalities, but
we advise taking French courses which are provided by the Institute.

Send your resume and possible questions as soon as possible by snail mail,
please NOT by email because I will be off to two conferences, to:

Dr. J. du Buf
Signal Processing Laboratory
Swiss federal Institute of Technology
EPFL-Ecublens
CH-1015 Lausanne
Switzerland

If possible, provide an email address and/or fax number!

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

Date: Thu, 13 Aug 92 13:18:14 -0400
From: "Baba Vemuri" <vemuri@scuba.cis.ufl.edu>
Subject: CFP: Geometric Methods in Computer Vision

			CALL FOR PAPERS

		Geometric Methods in Computer Vision
	(Part of SPIE's Annual International Symposium on Optoelectronic
	Applied Science and Engineering; 12-13th July 1993;
			San Diego, California,
	San Diego Convention Center, Marriott Hotel and Marina)

	  Conference Chair: Baba C. Vemuri
               Dept. of Computer & Information Sciences, CSE326
               University of Florida, Gainesville, FL. 32611

Co-chairs:
Ruud M. Bolle, IBM T. J. Watson Research Center, Yorktown Heights, NY.
Demetri Terzopoulos, Department of Computer Science, Univ. of Toronto, Canada.
Richard Szeliski, Cambridge Research Labs, DEC, Cambridge, MA.
Gabriel Taubin, IBM T. J. Watson Research Center, Yorktown Heights, NY.
Alan Yuille, Division of Applied Sciences, Harvard University, MA.


			Key Note Address:
	
	Professor Dr. Jan Koenderink
		Physics Lab, Department of Medical and Physiological Physics
		University of Utrecht, Netherlands.



The theme of this conference is application of geometric methods in
low-level vision tasks, specifically for shape and motion estimation.
Over the past few years, there has been increased interest in the use
of differential geometry, computational physics and probability theory
for various vision tasks.  Papers describing novel contributions in all
aspects of geometric and probabilistic methods in vision are
solicited, with particular emphasis on:

Differential Geometric Methods for Shape Representation.

Energy-based Methods for Shape Estimation.

Probabilistic Techniques for Shape Estimation and Representation.

Geometry and Shape Recognition.


			DEADLINES

Abstract Due Date:  December 14, 1992

Manuscript Due Date: April 19, 1993
(Proceedings will be made available at the conference)

Please FAX or airmail FOUR copies, or email ONE copy of your abstract 
by 14 DECEMBER 1992 to:

SPIE, San Diego '93
P.O. Box 10, Bellingham, WA 98227-0010
Shipping Address: 1000 20th Street, Bellingham, WA 98225
Telephone: 206/676-3290
FAX: 206/647-1445
email: abstracts@mom.spie.org
CompuServe 71630,2177

Your submission should include the title of your abstract, the authors' names,
affiliations, mailing addresses, phone/FAX numbers, and email addresses, as well
as the abstract text of approximately 500 words. Please be sure to indicate that
your abstract is intended for the conference on Geometric Methods in Computer
Vision II (Vemuri).

Applicants will be notified of acceptance by March 1993. A manuscript due
date of 19 April 1993 must be strictly observed since the Proceedings of this
conference will be published before the meeting and available on site.

Note: Late abstract submissions may be considered, subject to program
time availability and chairs approval.

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

Date: Tue, 11 Aug 1992 10:05:13 -0700
From: wpk@ananda.llnl.gov (W. Philip Kegelmeyer)
Subject: CFP: Machine Vision and Robotics Conference

                                CALL FOR PAPERS
		APPLICATIONS OF ARTIFICIAL INTELLIGENCE XI:
			MACHINE VISION AND ROBOTICS

	Conference Chairs:  Kim L. Boyer
				Ohio State University
				kim@ee.eng.ohio-state.edu
                            Loise Stark
                                U. of South Florida and U. of Pacific
				stark@csee.usf.edu
        Program Committee:
			A. Lynn Abbot, Virginia Poly. Inst. and State U.
			Stanley C. Ahalt, Ohio State U.
			Ronald C. Arkin, Georgia Inst. of Technology
			Kevin W. Bowyer, U. of South Florida
			Horst Bunke, U. of Bern (Switzerland)
			Henrik I. Christensen, Aalborg U. (Denmark)
			Diane Cook, U. of Texas/Arlington, U. of South Florida
			Fabio P. Ferrie, McGill U. (Canada)
			Bruce Flinchbaugh, Texas Instruments Inc.
			Patrick J. Flynn, Washington State U.
			Dmitry B. Goldgof, U. of South Florida
			Larry Holder, U. of Texas/Arlington
			Seth A. Huthinson, U. of Illinois/Urbana-Champaign
			Judson P. Jones, Oak Ridge National Labs
			W. Philip Kegelmeyer, Jr., Sandia National Labs
			Joseph L. Mundy, GE Corporate Research and Development
			Robin R. Murphy, Georgia Institute of Technology
			Andre J. Oosterlinck, Katholieke U. Leuven (Belgium)
			Alexander P. Pentland, Media Lab/MIT
			George C. Stockman, Michigan State U.
			Abraham Waksman, A.F. Office of Scientific Research 
	      
	Papers are solicited in all areas of machine vision and robotics,
	including but limited to:

	o robot vision and grasp planning
	o robot vision and perception
	o design and evaluation of robot platforms, arms, hands and heads
	o robotic materials handling
	o active and purposive vision
	o CAD-based vision
	o qualitative vision
	o reconstruction of 3-D scenes
	o multi-sensor integration
	o architectures for machine vision and robotics
	o feature extraction and segmentation
	o feature matching and object recognition
	o industrial applications of machine vision and robotics
	o parallel algorithms in machine vision and robotics

	Papers submitted to the Machine Vision and Robotics Conference
	should not also be submitted to the Knowledge-Based Systems in
	Aerospace and Industry conference of Applications of Artificial
	Intelligence XI.  Questions about which conference is most suitable
	for a particular paper should be directed to the program chairs.
        All submissions will be peer reviewed.

        Submission of Abstracts (Deadline September 14, 1992)

        Please send four copies of the following to
			OE/Aerospace Science and Sensing '93
			SPIE	
                        P O Box 10
                        Bellingham, WA  98227-0010

                        Shipping Address: 1000 20th Street
                        Bellingham, WA  98225

                        Phone: 206-676-3290
                        Fax: 206-647-1445
                        internet: spie@nessie.wwu.edu

          1.  Summary Title.
          2.  Author Listing (principal author first) .
	      Full names and affiliations as they will appear in the program.
          3.  Correspondence for each author.  
	      Mailing address, telephone, telefax, e-mail address.
          4.  Name of conference to which paper is being submitted.
	      (Applications of Artificial Intelligence XI: Machine Vision
	      And Robotics)
          5.  Summary Text.
	      (2000 words typed on white paper.)
          6.  Brief Biography (principal author only).
	      50 to 100 words

          For further information, contact either of the conference chairs.

Sandia National Laboratories	    voice:        (510) 294-3016
Imaging Technologies 		    INTERNET:	  wpkege@sandia.llnl.gov
P.O. Box 969, ORG 8351		    local:	  wpk@ananda
Livermore, CA, 94551-0969	    FAX:	  (510) 294-1004

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

Date: Fri, 14 Aug 92 11:26:19 -0400
From: nn7e@vision1.ee.Virginia.EDU
Subject: CFP: Sensor Fusion and Aerospace Applications

		CALL FOR PAPERS AND ANNOUNCEMENT

                    SPIE Conference on
	Sensor Fusion and Aerospace Applications

12-16 April 1993
Marriott's Orlando World Center Resort
and Convention Center
Orlando, Florida  USA

Conference Chairs:	Jake Aggarwal, Univ. of Texas	
				at Austin
			N. Nandhakumar, Univ. of Virginia

Program Committee:  Ruud Bolle, IBM T.J. Watson Research 
Ctr.; C.H. Chien, Lockheed Engineering and Sciences Co.; 
Richard Conners, Virginia Polytechnic Institute and 
State Univ.; A. Trent DePersia, DARPA; Keith Drake, 
AbTech Corp.; Larry Green, Martin Marietta Labs.; 
Sheldon Gruber, Case Western Reserve Univ.; Robert 
Hertzberger, Univ. van Amsterdam (Netherlands); Jim 
Leonard, Air Force Wright Lab.; Paul S. Schenker, Jet 
Propulsion Lab.; Demetri Terzopoulos, Univ. of Toronto 
(Canada); Mohan Trivedi, Univ. of Tennessee/Knoxville

The formulation of the interpretation of a single image 
(of a general scene) as a computational problem results 
in an under-constrained task.  This conference will 
feature approaches that have been investigated to 
alleviate the ill-posed nature of sensor interpretation 
tasks.  Papers are solicited on topics dealing with the 
extraction of multiple types of information from an 
image/sensor or from other sensory sources to constrain 
scene interpretation.

Topics may include:

- the extraction and fusion of multiple cues from the 
same image (e.g., integrating multiple shape-from-X 
methods, integrating discontinuities in brightness, 
texture)

- the use of multiple views of the scene (e.g., stereo, 
motion computation, structure from motion)

- the fusion of information from different modalities of 
sensing (e.g., IR, laser ranging, ultraviolet, acoustic, 
MMW radar)

- model-based methods for integrating multiple sensors

- computational frameworks for sensor fusion (e.g., 
variational, statistical, AI, neural networks)

- architectures and parallel methods for sensor fusion

- results of psychophysical and electrophysiological 
studies which may lead to new computational models for 
intersensory perception

- applications of sensor fusion in automated target 
recognition, mobile robot navigation, surveillance, etc.

SPECIAL SESSIONS:			Chair
	Motion and Tracking		B. Sridhar, NASA Ames
	Space Automation		C.H. Chien, Lockheed
	Neural Network Approaches	J. Ghosh, Univ of Texas
	Remote Sensing			TBA
	Registration & Calibration	TBA
	Aerospace Applications		TBA


Abstract Due Date:	14 September 1992
Manuscript Due Date:	15 March 1993

SUBMISSION OF ABSTRACTS

To qualify for acceptance, you must either fax or mail 
ALL FOUR copies of your abstract by 14 September 1992 
to:

OE/Aerospace Science and Sensing '93
SPIE, P. O. Box 10, Bellingham, WA 98227-0010
Shipping Address:  1000 20th St., Bellingham, WA 98225
Telephone:  206/676-3290; Telex 46-7053
Telefax: 206/647-1445; OPTO-LINK 206/733-2998
Internet spie@nessie.wwu.edu
Compuserve 71630,2177

YOUR ABSTRACT SHOULD INCLUDE THE FOLLOWING:

1.  ABSTRACT TITLE

2.  AUTHOR LISTING (principal author first)  Full names 
and affiliations AS THEY WILL APPEAR IN THE PROGRAM.

3.  CORRESPONDENCE FOR EACH AUTHOR (Mailing address, 
telephone, telefax, email address.)

4.  SUBMIT TO: Sensor Fusion and Aerospace Applications 
Conference, (N. Nandhakumar)

5.  PRESENTATION:  Please indicate your preference for 
either "Oral Presentation" or "Poster Presentation."

6.  ABSTRACT TEXT.  500 words typed on white paper.

7.  BRIEF BIOGRAPHY (principal author only) 50 to 100 
words.

CONDITIONS OF ACCEPTANCE:

Authors are expected to secure travel and accommodation 
funding, independent of SPIE, through their sponsoring 
organizations before submitting abstracts.  Only 
original material should be submitted.  Abstracts should 
contain enough detail to clearly convey the approach and 
the results of the research.  Government and company 
clearance to present and publish should be final at the 
time of submittal.  Submissions may be placed in an oral 
or poster session at the chair's discretion.  Applicants 
will be notified of acceptance by 4 JANUARY 1993.

PROCEEDINGS OF THE MEETING can be ordered through the 
Advance Program.  MANUSCRIPTS ARE REQUIRED OF ALL 
ACCEPTED APPLICANTS AND MUST BE SUBMITTED IN ENGLISH BY 
15 MARCH 1993.  Copyright to the manuscript is expected 
to be released for publication in the conference 
Proceedings.

PAPER REVIEW.

Commercial papers, descriptions of papers with no 
research content, and papers where supporting data or a 
technical description cannot be given for proprietary 
reasons will not be accepted for presentation in this 
symposium.  To assure a high quality conference, all 
abstracts and Proceedings appears will be reviewed by 
the Conference Chairs for technical merit and content.

CHAIR/AUTHOR BENEFITS

Chairs/authors/co-authors are accorded a reduced-rate 
registration fee.  Included with fee payment are a copy 
of the Proceedings in which the participant's role or 
paper appears, a complimentary one-year non-voting 
membership in SPIE (if never before a member), and other 
special benefits.

POSTER PRESENTATION

Interactive poster sessions will be scheduled in the 
evenings, with SPIE providing authors with boards and 
easels for presentation set-up.  All conference chairs 
encourage authors to contribute papers with technical 
content that lends itself well to the poster format.
PLEASE INDICATE YOUR PREFERENCE ON THE ABSTRACT.

ORAL PRESENTATION

Each author is generally allowed 15 minutes plus a five-
minute discussion period.  SPIE will provide the 
following media equipment free of charge:  35 mm 
carousel slide projectors, overhead projectors, and 
electric pointers.  Video and other equipment may be 
rented by SPIE at the speaker's expense.

N. Nandhakumar				E-mail:	nandhu@virginia.edu
Elec Engr Dept, Univ. of Virginia,	Phone:	(804) 924-6108  
Charlottesville, VA 22903-2442		Fax:	(804) 924-8818

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

Date: Mon, 17 Aug 1992 15:11:29 +0800
From: Geoff West <geoff@cs.curtin.edu.au>
Subject: CFP: Workshop on Two and Three Dimensional Spatial Data

FINAL CALL FOR PAPERS

WORKSHOP ON TWO AND THREE DIMENSIONAL SPATIAL DATA:
           REPRESENTATION AND STANDARDS

OVERVIEW

It is proposed to hold a two day workshop on issues of 
representation and standards of 2D and 3D spatial 
representations. This will be held in Perth at Curtin 
University on the 7th and 8th of December 1992. The format 
of the workshop will be a number of invited talks by both 
national and international researchers. There will be time for 
discussion and the presentation by Australian researchers and 
commercial users. 

WORKSHOP CONTENTS

The choice and use of representations for two and three 
dimensional data and information is crucial to the disciplines of:

Computer Vision                     Pattern Recognition
Computer Graphics                   Remote Sensing
Computer Aided Design               Image Processing
Man Machine Interface               Virtual Reality
Geographical Information Systems
Medical Databases and Applications

Each of these fields is concerned with the processing and 
analysis of information that can be represented using a variety 
of techniques. The choice of the particular technique is, to a 
large extent, dependent on the application and available 
technology. It is a truism that each discipline makes use of its 
own particular representation(s) which leads to incompatibility 
with other disciplines.

It is becoming obvious that there is an increasing 
interdependence in the above disciplines for representing 
objects and environments.  There is therefore a need to bring 
together researchers and users in different disciplines to interact 
and address the issues that arise in different forms of spatial 
representation.  The topics covered in this workshop will 
include (but not be limited to):

Techniques for two and three dimensional spatial representation
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There are a large number of different representations e.g. 
octrees, quadtrees, BReps, CSG trees used by many 
practitioners in different disciplines. Presentations of new 
techniques, extensions and use in new areas will be favoured.

Compatibility and standardisation of various representations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There is increasing commonality between the various 
disciplines e.g. computer graphics, vision and CAGD, and 
GIS and remote sensing. Presentation on issues concerned 
with standardisation of representations across disciplines and 
interchange of data will be welcome. 

Abstract models for representing environments
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There is a need and interest in different types of representation 
e.g. functional and teleological that can be used to represent 
spatial data to capture meaning which is difficult to represent 
in the more traditional methods. Presentations of new models 
in these and similar directions are welcome.

Tools for manipulating spatially organised data
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
One of the biggest problems with any representation is the 
manipulation, display etc. of the data. While each discipline 
has its own means of handling data there is little exchange of 
ideas across the disciplines. We welcome presentations that 
describe new tools or the application of existing tools to other 
disciplines.

Invited Speakers
~~~~~~~~~~~~~~
Prof. B. Hibbard, Space and Science Engineering Centre, USA.
One other well known researcher to be announced.

Who should attend
~~~~~~~~~~~~~~~
The workshop should be suitable for people from the 
academic, applied and industrial research and development 
communities. It is important for all three areas to be well 
represented to allow cross fertilisation between cutting edge
research and end users.

Deadlines and Format
~~~~~~~~~~~~~~~~~~

Deadlines and Format of Contributions

Abstract due:    August 31st 1992
 
The abstract should not exceed two A4 pages of 10 point type. The abstract
should contain the title, authors names and affiliations.

Final paper due:    November 15th 1992


All accepted papers and abstracts will be contained in a draft proceedings
which will be available to all participants. Depending on the success of the
workshop, a book may be produced based on extended papers.

Two copies of the papers and abstracts should be sent to Mrs Mary Simpson at
the address below.

    Mrs Mary Simpson,
    School of Computing, 
    Curtin University, PO Box U1987
    Perth ,Western Australia 6001
    Phone    +61 -9 -351 7298
    Fax    +61 -9 -351 2819
    Email: aprs@cutmcvax.cs.curtin.edu.au

The final paper should not exceed five A4 pages in 10 point type Times or
Courier font. The format should be as follows:

Title: 14 point type, bold, centred.
Names: 10 point type, centred.
Affiliations: 10 point type, centred.
Abstract: 12 point type, bold, centred.
Other headings including Introduction and References: 12 point type, bold,
left justified.
Main text: 10 point, justified.
Referencing style: Harvard with name and date in the text.

Organising Committee
~~~~~~~~~~~~~~~~~~
S. Venkatesh, G. West
Department of Computer Science,
Curtin University of Technology,
PO Box U1987, Perth, 6001.
Fax: 09-351-2819
B. White
School of Mathematics and Statistics,
Curtin University of Technology,
PO Box U1987, Perth, 6001
Fax: 09-351-3197
Email: aprs_workshop@cutmcvax.cs.curtin.edu.au

________________________________________________________________________________
WORKSHOP REGISTRATION & ACCOMODATION FORM

Please complete this form and return to:
        Mary Simpson,
        School of Computing Science, Curtin University,
        PO Box U1987
        Perth, Western Australia, 6001.
        Phone : 09-351-7298    Fax: 09 - 351 2819
        Email: aprs@cutmcvax.cs.curtin.edu.au

I will be attending the workshop.
I will be presenting a paper:        yes/no (delete one)
I require accomodation:              yes/no (delete one)

Title        ___________________________________________________________
Last Name    ___________________________________________________________
First Name   ___________________________________________________________
Address      ___________________________________________________________
             ___________________________________________________________
             ___________________________________________________________
             ___________________________________________________________
Phone        ___________________________________________________________
Fax          ___________________________________________________________
Email        ___________________________________________________________

Date of arrival            _______________
Estimated time of arrival  _______________
Date of departure          _______________

Registration Fees:

Before NOV 1 1992  |   Price    |  Number of Persons  |  Total
APRS member        |  Aus $150  |                     |
Non-member         |  Aus $200  |                     |
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------------------------------

Date:  Thu, 20 AUG 92 10:11 N
From: NESI%INGFI1.CINECA.IT@ICINECA.CINECA.IT
Subject: Technical Report abstracts

The following Technical Reports are available from anonymous ftp.

********************** FIRST (OFCA) *************************
``A Unified Approach to Optical Flow Constraint Analysis''
     Paolo Nesi, Alberto Del Bimbo, Jorge L. C. Sanz

                        abstract

Optical flow was defined on the basis of a constraint equation
(commonly referred to as the Optical Flow Constraint -- OFC --)
that models the motion of the image brightness features.  Several
authors investigated conditions for the validity of this
constraint equation achieving different conclusions.  More
recently, a different constraint equation was introduced (that
will be referred in the following as Extended Optical Flow
Constraint -- EOFC --) which is supposed to provide a more
accurate approximation to the velocity field than OFC.  A large
amount of experimental results mostly based on OFC, are available
in the literature.  However, few papers exist that show conditions
for the validity of OFC and the relationship between the optical
flow and the velocity field, but based on different approaches and
under different assumptions.  No papers exist comparing OFC and
EOFC approaches.  In this paper, a unifying mathematical framework
is presented in which different conditions for the validity of OFC
are defined mathematically shown to hold.  In the same framework,
conditions for the equality between the optical flow and the
velocity field are established.  Finally differences between OFC
and EOFC are analyzed.
{\bf Index term}: computer vision, motion analysis, image flow,
optical flow, constraint equation analysis.


********************** SECOND (VOTE) *************************
    ``Optical Flow from Constraint Lines Parametrization''
           D. Ben-Tzvi,    A. Del Bimbo,    P. Nesi

                        abstract

Optical flow is an approximation of the velocity field, which is
the perspective projection of the 3D real velocity on the image
plane.  One method for evaluating optical flow is based on the
optical flow constraint equation.  Such an equation is associated
with each image pixel.  Under the assumption that in the immediate
neighbourhood of a pixel the optical flow field is smooth, the
constraint equations in that neighbourhood should have a common
solution.  Following this reasoning a new method of evaluating the
optical flow from optical flow constraint equation is presented in
this paper.  In the case of a two-variable constraint equation it
proposes to accumulate evidence from the solution of all pairs of
constraints in each image segment to provide the most probable
value for optical flow, rather than adopting least-squares
techniques, as commonly done.  Each constraint line may be
represented as a point in the slope-intercept parameter plane.
Then, the requirement of a common intersection point of the
constraint lines of an image segment in the velocity plane is
changed to the requirement of collinearity of their corresponding
points in parameter plane.  The estimation of the optical flow in
each image segment is thus reduced to finding the best line that
fits the pattern of points in parameter plane.  The proposed
accumulation of evidence to find the best matched line is
performed using a variant of the Hough transform, the
Combinatorial Hough transform.  After the accumulation of votes in
each image segment, the point with the maxumum number of votes
provides the parameters of the searched line, from which the
optical flow for the segment may be calculated.  The algorithm
performs well even in the more difficult cases of optical flow
estimation, like that of a discontinuity in the optical flow, and
where noise degrades the image.  An efficient implementation of
the algorithm is presented on a highly parallel architecture, the
Connection Machine-2.
{\bf Index term}: computer vision, motion analysis, motion estimation,
optical flow, Hough transform, local voting, parallel implementation.

*****

To get the PostScript files you have to connect to 150.217.11.000
(aguirre.-----) by using ftp with anonymous username and
leave your ident as password. The file are:

ofca.ps.Z               for the first paper
vote.ps.Z               for the second

and are located in the directory /pub so:

% ftp 150.217.11.13
Connected to aguirre
Name: anomymous
Password:
ftp> cd pub
ftp> binary
ftp> get ofca.ps.Z
ftp> get vote.ps.Z
ftp> by
% compress -d ofca.ps.Z
% lpr -P<nome your printer> ofca.ps

% compress -d vote.ps.Z
% lpr -P<nome your printer> vote.ps

******

For additional information or comments please contact:

Dr. Paolo Nesi
Dept. of Systems and Informatics
University of Florence, Italy
NESI@INGFI1.CINECA.IT



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End of VISION-LIST digest 11.29
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