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VISION-LIST Digest Volume 11 Issue 28
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 examples 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
------------------------------
End of VISION-LIST digest 11.28
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