From: Vision-List-Request@ADS.COM (Vision-List moderator Phil Kahn)
Newsgroups: comp.ai.vision
Subject: VISION-LIST digest 11.28
Date: 17 Aug 92 18:49:21 GMT
Reply-To: Vision-List@ads.com
Distribution: inet
Organization: The Internet

VISION-LIST Digest    Mon Aug 17 10:49:21 PDT 92     Volume 11 : Issue 28

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Today's Topics:

 D-Type skeletonisation
 Digital Triangulation
 About some medical references ...
 Signature verification
 C/C++ code for Kalman filtering
 Connected component labeling Algorithms
 PC-app. for segmentation and morphology of microscopic images sought
 help in getting article
 Advance Programme for BMVC92
 CFP: SPIE Image Storage and Retrieval, Jan 1993
 Conference AISB'93: 2nd CFP and Revised Submission Date
 CFP: Conference on Human Vision, Visual Processing and Digital Display 

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

Date: Fri, 31 Jul 92 10:05:32 GMT
From: cmch.ernet.in!vasan@saathi.ncst.ernet.in
Subject: D-Type skeletonisation

Hello friends/colleagues,

I had a few problems while applying the D-Type skeletonisation based
on morphological operators.

To recapitulate,
the templates for detecting D-Type skeleton were

0 0 x
0 1 1
0 0 x  and all its rotations. The x's mean don't cares. 
The 1's are replaced by 0's if the input image agrees with the template.
The replacements are done in the output image.

Now consider an image made of the pattern 

0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 1 1 0 0 0
0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0
The above mentioned template would be applicable equally well to both 
the 1's in this image thus reducing the object to all zeroes giving an
incorrect count of the objects/particles in the image. This problem occurs
whenever the input object sizes are even numbered. 

Are the results of applying the structuring template to one pixel to be used
for subsequent pixels in the same iteration. Such a criterion would never-
theless make these algorithms less amenable to parallelisation.

I referred to JSerra's bible and a few other papers but the problem still
remained.

So, friends, where is the catch or where have I committed the gaffe.

Ciao
SrinivasanVS
Systems Engineer
CMC Ltd
115, Sarojini Devi Road
Secunderabad - 500 003 ( INDIA )
E-Mail : vasan@cmch.ernet.in

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

Date: Mon, 3 Aug 1992 16:33:14 GMT
From: ng910@twins.pnl.gov
Organization: Battelle Pacific Northwest Labs, Richland, WA
Subject: Digital Triangulation
Keywords: vision/trinagulation

Hi all, I am looking for source code or algorythms for multiple camera 
real-time triangulation of objects.  If anybody can help, thanks in advance!

Dave Wagle

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

Date: Mon, 10 Aug 92 8:53:36 MESZ
From: Thomas Buck <buck@goya.gris.informatik.uni-tuebingen.de>
Subject: About some medical references ...

Dear folk:

I'm studying 3D medical image processing at our computer graphics department.

Now I have come to the point where I need some literature reference about
applying an geometrical description (something like an anatomical atlas) to
our patient data.

Not only this, but also algorithms for rigid and elastic matching.
Please, if you know some literature about this, send me (:-)).

Thanks very much in advance,
Thomas

THOMAS DE ARAUJO BUCK   [Internet] buck@goya.gris.informatik.uni-tuebingen.de
Universitaet Tuebingen             Wilhelm Schickard Institut fuer Informatik
Auf der Morgenstelle 10, C-9                 7400 Tuebingen 1  -  DEUTSCHLAND
Phone: +49 (0) 7071 / 29-5464                     Fax: +49 (0) 7071 / 29-5466

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

Date: Wed, 29 Jul 1992 18:09:47 GMT
From: eugene@sbcs.sunysb.edu (Eugene Joseph)
Organization: State University of New York at Stony Brook
Subject: Signature verification
Keywords: pattern recognition

Does anyone know of one of the following:
1) A program
2) An algorithm
3) A reference for 1) or 2)
that will compare the images of two signatures
and provide a distance measure between the images;
i.e. signature verification ?

Thanks.
Eugene.

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

Date: Wed, 29 Jul 92 21:20:08 CDT
From: odonnell@osage.csc.ti.com (Tom O'Donnell)
Subject: C/C++ code for Kalman filtering

I am seeking generic c or c++ code for Kalman filtering.
It would be used for position prediction of actors in a scene.

Thanks in advance,
Tom O'Donnell

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

Date: Fri, 31 Jul 92 11:00:20 KDT
From: dmyoon@lion.postech.ac.kr (Yoon Doo Man)
Subject:  Connected component labeling Algorithms

  Hi,

  I'm surveying Connected component labeling Algorithms.
  It is quite time-consuming job in computer vision. So I would
  test the speed of the algorithms. 

  Would you send me your own programs which are implemented by yourself or
  which you are using for your work ?

  I'll let you know the result of my test .

  Thanks,
  Doo-man yoon
  e-mail : dmyoon@csd.postech.ac.kr

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

Date: Sun, 2 Aug 1992 18:44:13 GMT
From: wolfi@cs.tu-berlin.de (Wolfgang Schwanke)
Organization: Techn. University of Berlin, Germany
Subject:  PC-app. for segmentation and morphology of microscopic images sought

Hi everyone,

for a friend I am looking for a programme that can do visual segmentation and
morphology of microscopic photos of living cells. He wants to run it on a PC,
preferrably under Windows, but DOS applications would also be interesting.

As this is almost a standard computer vision task, I am pretty sure there are
a lot such applications around. I would welcome any hint on where to find them
(shareware preferred, but info on commercial packages is also welcome).

Thank you in advance,

Wolfgang Schwanke * Technische Universitaet Berlin * Germany * wolfi on irc
email: wolfi@cs.tu-berlin.de       *      wolfaefg@w250zrz.zrz.tu-berlin.de

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

Date: 31 Jul 92 17:12:01 GMT
From: vasanth@cbis.ece.drexel.edu (Vasanth Shreesha)
Organization: Drexel University, ECE Department, Philadelphia, PA
Subject: help in getting article

Hi Netters,
I am looking for the following article
Licklider,J.C.R. A duplex theory of pitch perception Experientia (Basel)
7, 128-134 (1951).
Anybody out there having a copy of this article and willing to send me a copy ?
Thank you for your attention;
Vasanth

Vasanth Shreesha                            
Graduate Student
Dept. of Electrical and Computer Engineering
Drexel University
Philadelphia, PA 19104.
tel. (215) 386-9893(Home)   e-mail: vasanth@cbis.ece.drexel.edu
	 (215) 895-2250(Office)         shreeshv@duvm.bitnet

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

Date: Fri, 7 Aug 92 10:57:38 BST
From: dch@scs.leeds.ac.uk
Subject: Advance Programme for BMVC92

                 British Machine Vision Conference 1992
                  University of Leeds,  21-24 September

                           ADVANCE PROGRAMME

Tuesday, 22nd September

INVITED SPEAKER
	Performance characterisation in computer vision
	Robert Haralick, University of Washington

SHAPE
	Training models of shape from sets of examples 
	T F Cootes,  C J Taylor,  D H Cooper,  J Graham
	Dept of Medical Biophysics, University of Manchester

	The Delaunay/Voronoi selection graph: a method for extracting shape 
	information from 2-D dot-patterns with an extension to 3-D
	G Robinson,  L Griffin,  A Colchester
	Dept of Neurobiology, Guy's Hospital

STRUCTURE FROM MULTIPLE IMAGES
	Range recovery using virtual multi-camera stereo
	D W Murray,  P A Beardsley
	Dept of Engineering Science, University of Oxford

	Robust recovery of 3D ellipse data
	S Pollard,  J Porrill
	AI Vision Research Unit, University of Sheffield

	Affine and projective structure from motion
	S Demey (1),  A Zisserman (2),  P Beardsley (2)
	(1) Dept of Mechanical Engineering, Katholieke Universiteit Leuven
	(2) Dept of Engineering Science, University of Oxford

	Planar region detection and motion recovery
	D Sinclair,  A Blake,  S Smith,  C Rothwell
	Dept of Engineering Science, University of Oxford

	3D structure and motion estimation from 2D image sequences
	T N Tan,  K D Baker,  G D Sullivan
	Dept of Computer Science, University of Reading

SEGMENTATION AND FEATURES
	Statistical detection of independent movement from a moving camera
	P H S Torr,  D W Murray
	Dept of Engineering Science, University of Oxford

	Accurate boundary location from motion
	J A Marchant
	Agricultural and Food Research Council, Silsoe Research Institute

	From features to perceptual categories
	W Richards1,  J Feldman1,  A Jepson2
	1. Dept of Brian & Cognitive Sciences, MIT
	2. Dept of Computer Science, University of Toronto

	Vanishing point detection
	A Tai,  J Kittler,  M Petrou,  T Windeatt
	Dept of Electronic and Electrical Engineering, University of Surrey

	Contextual junction finder
	J Matas,  J Kittler
	Dept of Electronic and Electrical Engineering, University of Surrey

POSTER SESSION 1
	Generation of 3D dense depth maps by dynamic vision
	J Santos-Victor,  J Sentieiro
	Centro de Analise e Processamento de Sinais, Inst Superior Tecnico

	A new class of corner finder
	S Smith
	Dept of Engineering Science, University of Oxford & DRA (RARDE Chertsey)

	On evidence assessment for model-based recognition
	L Du,  G D Sullivan,  K D Baker
	Dept of Computer Science, University of Reading

	Lane boundary tracking for an autonomous road vehicle
	N W Campbell,  B T Thomas
	University of Bristol

	Indexing  two-dimensional objects using parametrised geometric features
	C C Hand
	IT Research Institute, Brighton Polytechnic

	The adpative bisector method: separating slant and tilt in estimating 
	shape from texture
	J V Stone
	Dept of Computer Science, University of Wales, Aberystwyth

	A step towards efficient bayesian signal reconstruction
	J W Dickson
	IBM UK Scientific Centre

	Multistage combined ellipse and line detection
	G A W West,  P L Rosin
	School of Computing Science, Curtin University of Technology

	Using colour templates for target identification and tracking
	S Brock-Gunn1,  T Ellis2
	1. Computer Science Dept, City University
	2. Centre for Information Engineering, City University

	Machine vision inspection of web textile fabric
	L Norton-Wayne,  M Bradshaw,  A J Jewell
	Dept of Elec. and Elec. Eng. & CIMTEX Centre, Leicester Polytechnic

PHASE-BASED DISPARITY ESTIMATION
	Multiresolution estimation of 2-D disparity using a frequency domain 
	approach
	A D Calway1,  H Knutsson2,  R Wilson1
	1. Dept of Computer Science, University of Warwick
	2. Computer Vision Laboratory, Linkoping University

	Estimating mean disparity of stereo images using shift-trials of phase 
	differences
	Li-Dong Cai,  J E W Mayhew
	AI Vision Research Unit, University of Sheffield

	On transparent motion computation
	K Langley1,  D J Fleet2,  T J Atherton3
	1. Dept of Psychology, University College London
	2. Dept of Computing Science, Queen's University, Canada
	3. Dept of Computer Science, University of Warwick


Wednesday, 23rd September

OBJECT RECOGNITION
	A neural network approach to recognition of structural aberrations in 
	chromosomes
	M Turner1,  J Austin1,  N Allinson2,  P Thompson3
	Depts of (1) Computer Science, (2) Electronics, (3) Psychology, 
	University of York

	Active shape models -- `smart snakes'
	T F Cootes,  C J Taylor
	Dept of Medical Biophysics, University of Manchester

	A generic system for image interpretation using flexible templates
	A Hill,  T F Cootes,  C J Taylor
	Dept of Medical Biophysics, University of Manchester

	Recognition of volcanoes on Venus using correlation methods
	C R Wiles,  M R B Forshaw
	Dept of Physics and Astronomy, University College London

	The use of symmetry chords for expressing grey level constraints
	D R Bailes,  C J Taylor
	Department of Medical Biophysics, University of Manchester

CORRESPONDENCE
	A matching and tracking strategy for independently moving objects
	L S Shapiro,  H Wang,  J M Brady
	Department of Engineering Science, University of Oxford

	Statistical analysis of a stereo matching algorithm
	N A Thacker,  P Courtney
	AI Vision Research Unit, University of Sheffield

	Line based trinocular stereo
	D Yang,  J Illingworth
	Dept of Electronic and Electrical Engineering, University of Surrey

	Stereo without disparity gradient smoothing: a Bayesian sensor fusion 
	solution
	I J Cox,  S Hingorani,  B M Maggs,  S B Rao
	NEC Research Institute, Princeton, USA

	On local matching of free-form curves
	Z Zhang
	INRIA Sophia-Antipolis, France

ACTIVE VISION 1
	Coarse image motion for saccade control
	P F McLauchlan,  I Reid,  D W Murray
	Dept of Engineering Science, University of Oxford

	Vergence micromovements and depth perception
	A Francisco
	Dept of Numerical Analysis and Computing Science, Royal Inst of 
	Technology, Sweden

	Layered architecture for the control of micro saccadic tracking of a 
	stereo camera head
	J E W Mayhew1,  Y Zheng2,  S A Billings2
	1. AI Vision Research Unit, University of Sheffield
	2. Dept of Automatic Control & Systems Engineering, Univ. of Sheffield

	Image tracking in real-time: a transputer emulation of some early 
	mammalian vision processes
	P H Welch,  D C Wood
	Computing Laboratory, University of Kent

POSTER SESSION 2
	A curvature sensitive filter and its application in microfossil image 
	characterisation
	J P Oakley,  R T Shann
	Dept of Electrical Engineering, University of Manchester

	Measuring geometrical parameters of involute spur gears to sub-pixel 
	resolution
	M J Robinson,  J P Oakley
	Dept of Electrical Engineering, University of Manchester

	Camera calibration using vanishing points
	P Beardsley,  D W Murray
	Dept of Engineering Science, University of Oxford

	Ground plane motion parameter estimation for non-circular paths
	G J Ellwood1,  Y Zheng1,  S A Billings1,  J Mayhew2, J P Frisby2
	1. Dept of Automatic Control & Systems Engineering, Univ. of Sheffield
	2. AI Vision Research Unit, University of Sheffield

	Estimation of cloud cover using colour and texture
	K Richards,  G D Sullivan
	Department of Computer Science, University of Reading

	Building a model of a road junction using moving vehicle information
	X Li-Qun1,  D S Young1,  D C Hogg2
	(1) School of Cognitive and Computing Sciences, University of Sussex
	(2) School of Computer Studies, University of Leeds

	Off-line handwriting recognition by recurrent error propagation networks
	A W Senior,  F Fallside
	Engineering Department, University of Cambridge

	Evaluating a hidden Markov model of syntax in a text  recognition system
	S Hanlon,  R Boyle
	School of Computer Studies, University of Leeds

	Segmentation of music primitives
	K C Ng,  R D Boyle
	School of Computer Studies, University of Leeds

	Active contours using finite elements to control local scale
	P Karaolani,  G D Sullivan,  K D Baker
	Dept of Computer Science, University of Reading

FACE RECOGNITION
	Automatic face location to enhance videophone picture quality
	T I P Trew1,  R D Gallery1,  D Thanassas1,  E Badique2
	(1) Philips Research Laboratories, Redhill
	(2) Philips Kommunikations Industrie AG, Nurnberg

	Face recognition by computer
	I Craw,  P Cameron
	Dept of Mathematical Sciences, University of Aberdeen

	A comparison of vector quantization codebook generation algorithms 
	applied to automatic face recognition
	C S Ramsay,  K Sutherland,  D Renshaw,  P B Denyer
	Dept of Electrical Engineering, University of Edinburgh

	Blink rate monitoring for a driver awareness system
	D Tock,  I Craw
	Dept of Mathematical Sciences, University of Aberdeen


Thursday, 24th September

INVITED SPEAKER
	Vision during action
	Giulio Sandini, University of Genoa

ACTIVE VISION 2
	Online calibration of a 4 DOF Stereo Head
	N A Thacker,  P Courtney
	AI Vision Research Unit, University of Sheffield

	Visibility scripts for active feature-based inspection
	E Trucco,  E Thirion,  M Umasuthan,  A M Wallace
	Dept of Computer Science, Heriot-Watt University

	Ground plane obstacle detection under variable camera geometry using a 
	predictive stereo matcher
	S Cornell, J Porrill,  J E W Mayhew
	AI Vision Research Unit, University of Sheffield


MODEL-BASED VISION
	Non-wildcard matching beats the interpretation tree
	R B Fisher
	Dept of Artificial Intelligence, University of Edinburgh

	Modelling data complexity for model-based vision
	L Du,  G D Sullivan,  K D Baker
	Dept of Computer Science, University of Reading

	Practical aspect-graph derivation incorporating feature segmentation 
	performance
	A W Fitzgibbon,  R B Fisher
	Dept of Artificial Intelligence, University of Edinburgh

	Recognising polyhedral objects from a single perspective view
	K C Wong,  J Kittler
	Dept of Electronic and Electrical Engineering, University of Surrey

	Linear algorithms for object pose estimation
	T N Tan,  G D Sullivan,  K D Baker
	Dept of Computer Science, University of Reading
        
================================================================================

                               Tutorial
                               --------

                    Geometric Invariance in Vision
	
Presenter: Andrew Zisserman (University of Oxford)
Date:  21st September 1992

Abstract

Invariants are properties of geometric configurations which remain unchanged under an appropriate class of transformations.  The application of invariants to machine vision has provided a tool for handling problems until recently considered intractable.  In contrast to traditional approaches, vision tasks may be performed without requiring knowledge of object pose, or intrinsic camera parameters, or making affine approximations to perspective projection.

The tutorial will be in two parts. The first will be an introduction to the basics of invariance theory and projective geometry.  Important transformations will be identified and the number and type of invariants described.  The second will cover the application of invariants to a number of important visual tasks including: recognition of 2D and 3D objects from single uncalibrated images; shape description; and, transfer of projected structure between images. Throughout, points will be illustrated by examp

les based on real images.  Finally, we will outline some of the more recent developments in this rapidly evolving field. 

================================================================================

For additional information contact:	Charlie Brown
					School of Computer Studies
					University of Leeds
					LEEDS  LS2 9JT
					tel: 0532-335463   (fax: -335468)
					e-mail: charlie@uk.ac.leeds.scs

================================================================================


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

Date: Mon, 3 Aug 92 18:05:31 PDT
From: "Wayne Niblack" <niblack@almaden.ibm.com>
Subject: Call for Papers for SPIE Image Storage and Retrieval, Jan 1993

              Announcement and Call for Papers
 SPIE / IS&T Symposium on Electronic Imaging Science and Technology


      Storage and Retrieval for Image and Video Databases

                January 31 - February 5, 1993
                 San Jose Convention Center
                    San Jose, California

                   Conference Co-Chairs
                 Alan Bell and Wayne Niblack
                 IBM Almaden Research Center

Continuing advances in the density of data storage technologies
coupled with increasingly efficient approaches to image and video data
compression have resulted in an expanding opportunity for storage
intensive applications involving these data.  To be effective, such
applications demand innovative approaches to a variety of issues
including the storage subsystem platform(s), automatic and manually
entered descriptors, indexing and retrieval methods, and user
interface.

The purpose of this conference is to bring together those engaged in
the hardware aspects of the storage systems, the software issues of
storage hierarchies and "intelligent", content-based retrieval, and
those doing the definition of requirements and the system and
application development.

Papers are solicited in the following areas:
   * Image and video databases
   * Optical disk or magnetic tape library systems
   * Hierarchical storage systems
   * Storage management for large image/video databases
   * Intelligent retrieval methods such as content-based
     indexing and geometric/structural hashing
   * Visual query languages
   * Query by image example and/or sketch
   * Semantic queries based on image descriptors
   * Similarity retrieval for image and video data
   * Image and/or digital video applications
   * Applications and systems of image and video databases in areas
     such as biomedical, publishing, journalism, GIS, and cataloging



Submit a 500 word abstract by August 15, 1992 to Wayne Niblack
(niblack@almaden.ibm.com).  Include the paper title, principal
author's complete address (including telephone, fax, mail, and
e-mail), and brief author biography (50 to 100 words, principal
author only).

Papers may also be mailed:
    Wayne Niblack
    K54/802
    IBM Almaden Research Center
    650 Harry Road
    San Jose, CA 95120-6099
or faxed:
    408-927-4049 or
    408-997-4662 or
    408-927-2100

Abstract due date:               August   15, 1992
Acceptance notification:         October  15, 1992
Camera Ready Abstract due date:  November 16, 1992
Manuscript due date:             January   4, 1993


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

Date: Sat, 25 Jul 92 16:28:25 BST
Subject: Conference AISB'93: 2nd CFP and Revised Submission Date
From: Donald Peterson <D.M.Peterson@computer-science.birmingham.ac.uk>

    ================================================================

                          AISB'93 CONFERENCE

           SECOND CALL FOR PAPERS (REVISED SUBMISSION DATE)

    Theme: "Prospects for AI as the General Science of Intelligence"

                       29 March --  2 April 1993 

                        University of Birmingham

    ================================================================



1.  Introduction
2.  Invited talks
3.  Topic areas for submitted papers
4.  Timetable for submitted papers
5.  Paper lengths and submission details
6.  Call for referees 
7.  Workshops and Tutorials
8.  LAGB Conference 
9.  Email, paper mail, phone and fax. 

1. INTRODUCTION

The Society for the Study of Artificial Intelligence and the
Simulation of Behaviour (one of the oldest AI societies) will hold its
ninth bi-annual conference on the dates above at the University of
Birmingham. The site is Manor House, a charming and convivial
residential hall close to the University. 

Tutorials and Workshops are planned for Monday 29th March and the
morning of Tuesday 30th March, and the main conference will start with
lunch on Tuesday 30th March and end on Friday 2nd April.

The Programme Chair is Aaron Sloman, and the Local Arrangements
Organiser is Donald Peterson, both assisted by Petra Hickey.

The conference will be "single track" as usual, with invited speakers
and submitted papers, plus a "poster session" to allow larger numbers to
report on their work, and the proceedings will be published. 

The conference will cover the usual topic areas for conferences on AI
and Cognitive Science. However, with the turn of the century
approaching, and with computer power no longer a major bottleneck in
most AI research (apart from connectionism) it seemed appropriate to
ask our invited speakers to look forwards rather than backwards, and
so the theme of the conference will be "Prospects for AI as the
general science of intelligence". Submitted papers exploring this are
also welcome, in addition to the normal technical papers. 


2. INVITED TALKS

So far the following have agreed to give invited talks:

Prof David Hogg (Leeds)
   "Prospects for computer vision"

Prof Allan Ramsay (Dublin)
   "Prospects for natural language processing by machine"

Prof Glyn Humphreys (Birmingham)
    "Prospects for connectionism - science and engineering". 

Prof Ian Sommerville (Lancaster)
    "Prospects for AI in systems design"

Titles are provisional.


3. TOPIC AREAS for SUBMITTED PAPERS

Papers are invited in any of the normal areas represented at AI and
Cognitive Science conferences, including:

AI in Design,
AI in software engineering
Teaching AI and Cognitive Science,
Analogical and other forms of Reasoning
Applications of AI,
Automated discovery,
Control of actions,
Creativity,
Distributed intelligence,
Expert Systems,
Intelligent interfaces
Intelligent tutoring systems,
Knowledge representation,
Learning,
Methodology,
Modelling affective processes,
Music,
Natural language,
Naive physics,
Philosophical foundations,
Planning,
Problem Solving,
Robotics,
Tools for AI,
Vision,

Papers on neural nets or genetic algorithms are welcomed, but should be
capable of being judged as contributing to one of the other topic areas.

Papers may either be full papers or descriptions of work to be presented
in a poster session.

4. TIMETABLE for SUBMITTED PAPERS

Submission deadline: 15th September 1992

Date for notification of acceptances: 1st December 1992

Date for submission of camera ready final copy: 15th January 1993

The conference proceedings will be published. Long papers and invited
papers will definitely be included. Selected poster summaries may be
included if there is space.

5. PAPER LENGTH and SUBMISSION DETAILS

Full papers:
    10 pages maximum, A4 or 8.5"x11", no smaller than 12 point print
    size Times Roman or similar preferred, in letter quality print.

Poster submissions
    5 pages summary

Excessively long papers will be rejected without being reviewed.

All submissions should include

    1. Full names and addresses of all authors
    2. Electronic mail address if available
    3. Topic area
    4. Label: "Long paper" or "Poster summary"
    5. Abstract no longer than 10 lines.
    6. Statement certifying that the paper is not being
       submitted elsewhere for publication.
    7. An undertaking that if the paper is accepted at least
       one of the authors will attend the conference.

THREE copies are required.


6. CALL for REFEREES

Anyone willing to act as a reviewer during September should write to the
Programme Chair, with a summary CV or indication of status and
experience, and preferred topic areas.


7. WORKSHOPS and TUTORIALS

The first day and a half of the Conference are allocated to workshops
and tutorials. These will be organised by Dr Hyacinth S. Nwana, and
anyone interested in giving a workshop or tutorial should contact him
at: 

Department of Computer Science, 
University of Keele, 
Staffs. 
ST5 5BG. 
U.K.

phone: +44 782 583413, or +44 782 621111(x 3413) 

email
    JANET: nwanahs@uk.ac.keele.cs  
    BITNET: nwanahs%cs.kl.ac.uk@ukacrl
    UUCP  : ...!ukc!kl-cs!nwanahs  
    other : nwanahs@cs.keele.ac.uk 


8. LAGB CONFERENCE.

Shortly before AISB'93, the Linguistics Association of Great Britain
(LAGB) will hold its Spring Meeting at the University of Birmingham
from 22-24th March, 1993. For more information, please contact Dr.
William Edmondson: postal address as below; phone +44-(0)21-414-4763;
email EDMONDSONWH@vax1.bham.ac.uk 


9. EMAIL, PAPER MAIL, PHONE and FAX. 

Email:
    * aisb93-prog@cs.bham.ac.uk 
      (for communications relating to submission of papers to the programme)
    * aisb93-delegates@cs.bham.ac.uk 
      (for information on accommodation, meals, programme etc. as it 
       becomes available --- enquirers will be placed on a mailing list)

Address:
    AISB'93 (prog) or AISB'93 (delegates), 
    School of Computer Science,
    The University of Birmingham,
    Edgbaston,
    Birmingham,
    B15 2TT, 
    U.K. 

Phone:
    +44-(0)21-414-3711

Fax:
    +44-(0)21-414-4281



Donald Peterson, April 1992. 

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

Date: 	Mon, 27 Jul 1992 07:05:06 -0400
Subject: CFP: Conference on Human Vision, Visual Processing and Digital Display

    Final Call for Papers: Extended Deadline August 21, 1992

Conference on HUMAN VISION, VISUAL PROCESSING and DIGITAL DISPLAY IV
         SPIE/IS&T Symposium on Electronic Imaging
                  San Jose, California
               January 31 - February 5, 1993

The goal of this conference is to explore the role of human
vision, perception, and cognition in the design, analysis, and
use of imaging systems.

Papers are welcome on basic and applied research in 1) the
perception of digitally sampled spatial, color, dynamic, or
stereo images; 2) the application of models for human vision,
perception, and cognition to the design systems which
scan, generate, process, compress, and display electronic images;
3) the perceptual and cognitive requirements for evaluating,
manipulating, and interpreting digital images in conventional and
virtual environments.

Papers are invited in these and related topics:
o Models of Human Vision, Perception, and Cognition
o Color Perception and its Applications
o Psychophysical Assessment of Image Quality
o Quantization and Halftoning
o Vision-Based Algorithms for Image Processing
o Higher-Level Processes: Semantics, Attention, Task-dependence
o Perception and Performance in Virtual Environments
o Interactive Visualization, Manipulation and Exploration

Send 200-500 word abstract to the SPIE, or to the Conference Chairs:
SPIE  1000 20th Street, Bellingham, VA, 98225
    (206) 676-3290   fax: (206) 647-1445   spie@nessie.wwu.edu
Dr. Bernice Rogowitz, IBM Research.  rogowtz@watson.ibm.com
Dr. Jan Allebach, Purdue University, allebach@ecn.purdue.edu

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End of VISION-LIST digest 11.28
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