Date: 08 Oct 90 10:44:19-PST
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Vision-List Digest	Mon Oct 08 10:44:19 PDT 90

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Today's Topics:

 Re:  Observer Mechanics
 Survey thresholding methods
 Computer Vision Graduate Studies?
 Image formats
 Constraint Satisfaction Problem in Engineering
 Research Fellow In Computer Vision: University of Surrey 
Job advert
 Table of Contents for CVGIP, Vol.52, No. 2, November 1990

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

Date:         Mon, 08 Oct 90 09:53:24 EDT
From: "David F. Austin" <N51LS801@ncsuvm.ncsu.edu>
Subject:      Re:  Observer Mechanics

I'd be interested in reactions to the avowedly ambitious

Bruce M. Bennett, Donald D. Hoffman & Chetan Prakash, OBSERVER MECHANICS:
A Formal Theory of Perception (San Diego, Academic Press, 1989).

>From the Preface:

OBSERVER MECHANICS is an inquiry into the subject of perception. It suggests
an approach to the study of perception that attempts to be both rigorous
and general.
A central thesis of OBSERVER MECHANICS is that every perceptual capacity
(e.g., stereovision, auditory localization, sentence parsing, haptic recogni-
tion) can be described as an instance of a single formal structure: viz., an
"observer." The first two chapters of OBSERVER MECHANICS develop this structure
, resulting in a formal definition of an observerl. The third chapter considers
the relationship between observers and Turing machines. The fourth chapter dis-
cusses the semantics of observers. Chapters 5-7 present a formal framework in
which to describe an observer and its objects of perception, and then develop
on this framework a perceptual dynamics.  Using this dynamics, Chapter 8 de-
fines conditions in which an observer may be said to perceive truly. Chapter 9
discusses how stabilities in perceptual dynamics might permit the genesis of
higher level observers. Chapter 10 comments on the relationship between the
formalisms of quantum mechanics and observer mechanics. Finally, the epilogue
discusses the philosophical context and implications of observer mechanics.

Is this theory being discussed by vision researchers? Have any criticisms
been offered? any counterexamples? (I'd heard that Ramachandran of UCSD
had proposed some of the latter, but don't know what they were.)

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Date: Mon, 8 Oct 90 14:33:57 +0100
From: Eduardo Bayro <eba@computing-maths.cardiff.ac.uk>
Subject: Survey thresholding methods
Organization: Univ. of Wales Coll. of Cardiff, Dept. of Electronic & Systems 
              Engineering

Hello friends!
I am surveying methods of selecting the threshold value for image binarization.
Is there anybody which can post me references. I will afterwards post  any
results. Thanking in advance Eduardo.

 Eduardo Bayro, School of Electrical, Electronic and Systems Engineering,
 University of Wales College of Cardiff, Cardiff, Wales, UK.
 Internet: eba%cm.cf.ac.uk@nsfnet-relay.ac.uk        Janet:  eba@uk.ac.cf.cm
 UUCP:     eba@cf-cm.UUCP or ...!mcsun!ukc!cf-cm!eba

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

Date: Sun, 7 Oct 90 09:41 EDT
From: LUGJG@VAX1.CC.LEHIGH.EDU
Subject: Computer Vision Graduate Studies?

I'd like to know what Computer Science departments are interested in
Computer Vision research.  I'm especially interested in eastern U.S.
schools.

It may be best to reply to me directly.  Then I'll post a summary.

Thanks.

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

Date: 8 Oct 90 00:40:28 GMT
From: suter@latcs1.oz.au (David Suter)
Subject: Image formats
Organization: Comp Sci, La Trobe Uni, Australia

I'd like to collect some thoughts on image formats:
 there are a number of formats such as Sunraster, Hips, postscript, GIF
 that may be associated with a particular hardware platform, software
package, or intended use. When working with images one has conflicting
demands for the format in terms of flexibility, load/decode time, file
space, and popularity (how many other sites support the same format).
In my own work I have tended to use sunraster format mainly and use
various convertor filters to convert to other formats (mainly
postscript for including in my papers or HIPS if there happens to be a
routine in that package that I wish to use).  However, I'm wondering
whether there are any particular advantages concerning the use of
format X, or whwther there is a defacto standard appearing through
popularity. I would welcome any comments about image formats (not
restricted to the four listed above) or simply a vote to the effect
that you use a particular format X. If there is sufficient interest,
I'll summarise to the net.  

d.s.


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

Date: Sat, 6 Oct 90 12:51:43 +0100
From: qian@icopen.ICO.OLIVETTI.COM (DA QUN QIAN)
Subject:  Constraint Satisfaction Problem in Engineering

As I knew, constraint satisfation problem has been studied in
AI.Vision area.  I hope that some nettters in this newsgroup can offer
me some information on the following queation.

I am studying how to use neural network techniques to solve constraint
satisfaction problem. I need some examples of constraint satisfaction
problem in industrial engineering. Who can offer me some references in
which an engineering problem was described in form of constraint
satisfaction problem?

Thanks in advance

Qian Daqun
Email: qian@icopen.ICO.OLIVETTI.COM

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

Date: Mon, 8 Oct 90 11:38:16 BST
Subject: Research Fellow In Computer Vision: University of Surrey 
From: J.Illingworth@ee.surrey.ac.uk
 

    UNIVERSITY OF SURREY: Dept of Electronics and Electrical Engineering.

    RESEARCH FELLOW IN COMPUTER VISION 

  A Research Fellow is required to work on an ESPRIT funded Basic 
  Research Action project: Vision As Process. The project involves
  institutes in France, Denmark and Scandinavia and concerns
  issues related to the active control of a generic vision system.
  The University of Surrey is developing object recognition methods
  which construct a symbolic scene interpretation using geometric
  hypotheses inferred from low level modules and high level knowledge
  from models of objects and their contexts. The successful applicant 
  would be required to develop algorithms, implement them in software 
  and integrate them with processes developed by other partners in the 
  consortium.

  The projects will be carried out within an active Vision, Speech and 
  Signal Processing research group which comprises about 35 members. 
  The group has extensive computing resources including SUN Sparc stations, 
  VAX and Masscomp computers as well as specialised image processing 
  facilities.

  Applicants for these posts should have a degree in mathematics, 
  statistics, electronics, computer science, artificial intelligence or 
  physics. Previous experience in computer vision, image analysis, 
  knowledge based methods or pattern recognition will be an advantage. 

  The salary will be in the range 10458 -16665 pa (under review) 
  depending upon age, qualifications and 
  experience, with superannuation under USS conditions. 
  In the first instance applications in the form of a curriculum vitae 
  including the names and addresses of two referees should be sent to 
  Dr J Kittler, Dept of Electronic and Electrical Engineering, University
  of Surrey, Guildford. GU2 5XH.


  Further information may be obtained from:

  Dr J Kittler on (0483) 509294.  email: ees1jk@uk.ac.surrey.ee

  or from 

  Dr J Illingworth on (0483) 571281 ext. 2299.  email: ees1ji@uk.ac.surrey.ee

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

Date: Mon, 8 Oct 90 10:08:18 -0700
From: graham@cs.washington.edu (Stephen Graham)
Subject: Table of Contents for CVGIP, Vol.52, No. 2, November 1990

COMPUTER VISION, GRAPHICS, AND IMAGE PROCESSING
Volume 52, Number 2, November 1990

CONTENTS

Mehmet Celenk.  A Color Clustering Technique for Image Segmentation, p. 145.

Sang Uk Lee, Seok Yoon Chung, and Rae Hong Park.  A Comparative Performance 
	Study of Several Global Thresholding Techniques for Segmentation, 
	p. 171.

Muhittin Gokmen and Richard W. Hall.  Parallel Shrinking Algorithms Using
	2-Subfields Approaches, p. 191.

Hsi-Hian Lee and Hsi-Chou Deng.  Three-Frame Corner Matching and Moving Object
	Extraction in a Sequence of Images, p. 210.

Thomas L. Hemminger and Carlos A. Pomalaza-Raez.  Polygonal Representation:  
	A Maximum Likelihood Approach, p. 239.

Jack Y. Jau and Roland T. Chin.  Shape from Texture Using the Wigner 
	Distribution, p. 248.

Ardeshir Goshtasby, Fuhua Cheng, and Brian A. Barsky.  B-Spline Curves and 
	Surfaces Viewed as Digital Filters, p. 264.
NOTES

	Greg Brookshire, Morton Nadler, and Choon Lee.  Automated 
	  Stereophotogrammetry, p. 276.

	Maurice Maes.  Digitization of Straight Line Segments Closeness 
	  and Convexity, p. 297.

ABSTRACTS OF PAPERS ACCEPTED FOR PUBLICATION, p. 306.

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End of VISION-LIST
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