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VISION-LIST Digest Volume 14 Issue 19
VISION-LIST Digest Mon May 22 15:46:46 PDT 95 Volume 14 : Issue 19
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Today's Topics:
New NIST Technical Document Image Database
Visual Reconstruction & Snakes
Linux in Machine Vision mailing list
Machine Vision Directory Ca
object-searching in an image
cheap cameras?
Research Positions at MAPSLab/CMU
Job Posting
Announcement: Parallel Algorithms for Image Enhancement and Segmentation
Technical Report
CFP, Human Vision and Electronic Imaging
Announcement: SPIE96 Very High Resolution and Quality Imaging
Special Issue RTI
EUROPEAN SUMMER COURSE ON RECENT ADVANCES IN IMAGE PROCESSING TECHNIQUES
----------------------------------------------------------------------
Date: Fri, 19 May 1995 13:34:02 +0000 (GMT)
From: patrick@magi.ncsl.nist.gov (Patrick Grother)
Organization: National Institute of Standards and Technology, Gaithersburg, MD
Subject: New NIST Technical Document Image Database
Summary: Binary Images of Machine Printed Docs
NIST Special Database 20
Scientific and Technical Document Database
Special Database 20 contains 23468 high resolution binary images
obtained from copyright-expired scientific and technical journals
and books. The images contain a very rich set of graphic elements
such as graphs, tables, equations, two column text, maps, pictues,
footnotes, annotations, and arrays of such elements. No ground
truthing or original typesetting information is available. The
images contain predominantly machine printed English, although
three French and German documents are included.
+ 104 articles, books, journals
+ 23468 full page binary images
+ High Resolution 15.75 dots per mm ( 400 dpi )
+ 4 compact discs each containing about 500 Mb
+ Updated CCITT IV Compression Source Code: 25x compression
+ A structural statistics file for each image
+ Page rotation estimates
+ Software utilities
Special Database 20 is available as a four 5.25 inch CD-ROM
set in the ISO-9660 format.
Price: $1000.00 US.
For sales contact:
Standard Reference Data
National Institute of Standards and Technology
Building 221, Room A323
Gaithersburg, MD 20899
Voice: (301) 975-2208
FAX: (301) 926-0416
email: srdata@enh.nist.gov
For technical details contact:
Patrick Grother
Visual Image Processing Group
National Institute of Standards and Technology
Building 225, Room A216
Gaithersburg, Maryland 20899
Voice: (301) 975-4157
email: patrick@magi.ncsl.nist.gov
------------------------------
Date: 18 May 1995 21:49:51 GMT
From: vikram@fizzle.ee.washington.edu (Vikram Chalana)
Organization: University of Washington
Subject: Visual Reconstruction & Snakes
One small question for the gurus of computer vision.
Is there a relationship between the idea of visual reconstruction using
weak membranes or thin-plate splines (Blake & Zisserman,
Visual Reconstruction) and the idea of active contour models or snakes
(Kass,Witkin, & Terzopolous) ?
It looks like the two things are based on the same principle of
regularization, but are the two ideas related in any other way. Is the idea of
snakes derived from the idea of thin-plate splines for surface reconstruction
in any way ?
Any publications pointing this similarity would be greatly appreciated.
Thanks in anticipation,
Vikram Chalana
(vikcha@u.washington.edu)
------------------------------
Date: Thu, 18 May 1995 14:45:42 EDT
From: mdw@CS.Cornell.EDU (Matt Welsh)
Subject: Linux in Machine Vision mailing list
[ This is the last posting along the Linux topic thread in
the Vision List. Please pick up the thread from below.
Also, more LINUX info can be obtained from the WWW or ftp
via FTP://SUNSITE.UNC.EDU/PUB/LINUX/WELCOME.HTML .
cheers, phil... ]
I have created a mailing list for people interested in the use of Linux
(a free 32-bit UNIX clone for x86 systems) in machine vision research and
applications. The primary goals of this mailing list are to exchange
information regarding technical aspects of using Linux in this area. Topics
might include:
* Development of Linux device drivers for frame grabbers and
other machine-vision or multimedia hardware;
* Porting and development of vision applications under Linux;
* Integrating Linux in vision research;
* New approaches to systems aspects of machine vision using Linux.
I am particularly interested in the above areas, but many possibilities
exist. This list should allow people working in this area (or interested
in use of Linux for such research) to exchange information.
To subscribe to the list, send mail to
listproc@cornell.edu
containing the body
subscribe linuxvis-l Firstname Lastname
where "Firstname Lastname" is your name. You will receive an auto-reply
describing how to send mail to the list.
Cheers,
M. Welsh, mdw@cs.cornell.edu
Cornell University Robotics and Vision Laboratory
------------------------------
Date: Thu, 18 May 1995 17:06:07 EDT
From: lougheed@qmserv.erim.org (Bob Lougheed)
Organization: Environmental Research Institute of Michigan
Subject: Machine Vision Directory Call
Attention Machine Vision Supplier/Vendor:
The Machine Vision Association of the Society of Manufacturing Engineers
(MVA/SME) is updating its MACHINE VISION INDUSTRY DIRECTORY. If you are a
manufacturer or supplier of machine vision systems, components or related
products, you are invited to submit a company listing.
The Directory lists hundreds of companies and is designed as a reference
tool for individuals looking for sources of machine vision technology. The
Directory is divided into three sections: alphabetical, category, and
geographic location. The category listing includes: system manufacturers,
system integrators, component suppliers, distributors, other.
To be included in the updated edition, please submit the following
information to SME International Headquarters by August 1, 1995. The 1996
MACHINE VISION INDUSTRY DIRECTORY will be available in December 1995.
Company title
Complete address
Phone number
FAX number
Contact person: (Full name and title)
Products/Services description: (brief paragraph)
Indicate the status of your listing:
new
update
Indicate the category your company should be listed in:
system manufacturers
system integrators
component suppliers
distributors
other
Submit your information to:
Debbie Clark
Administrator
Professional Interest
Society of Manufacturing Engineers
One SME Drive
Dearborn, MI 48121-0930
Ph:(313) 271-1500, ext. 348
Fx:(313) 271-2861
e-mail address: clardeb@sme.org
------------------------------
Date: Fri, 19 May 1995 15:34:50
From: woellik@s15mhi.tu-graz.ac.at (Woellik Helmut)
Organization: Graz University of Technology, Austria
Subject: object-searching in an image
Hi there,
I am looking for a method for doing object finding in a gray scaled
picture. The search-object is well known (size, shape and brightness),
but in the given image, it can differ from it. This is because of
little shaddow effects, noise or dirty parts on the object, or even
hidden and joined parts. My solution now (and it has a very good
functionality) is to operate with a lot of histograms, continued with
similar edge detecting. The disadvantage is the computed time: One
object with, say 20*20 pixel in a 300*200 image needs more than 2
minutes to find!
My question now: Is there any good and FAST algorithm for doing this
job? (I heard from the Normalized- Correlation-Search-Technique, but I
do not know more about it...) I also wonder about any books/papers
with this topic.
Thanks,
Woellik Helmut woellik@mhi.tu-graz.ac.at
Institut fuer Foerdertechnik TU-GRAZ
------------------------------
Date: 20 May 95 00:27:13 GMT
From: higginso@rastro.Colorado.EDU (HIGGINSON CHRISTOPHER ALAN)
Organization: University of Colorado at Boulder
Subject: cheap cameras?
Summary: I am looking for cheap cameras to interface to my PC
Keywords: computer vision hardware camera
Hello:
I am trying to get a system together to do some image
processing with my PC. Now I am looking for a cheap(less than 200
dollars) camera. Monocrome is fine and it does not need to be a video
camera. It would be nice if focus was could be controlled by analog
input(eventually from the PC.) Let me know if anyone has used cameras
that meet this description or have put together a cheap system for
their PC(or if there is no way I will find a camera that cheap).
Chris
higginso@u.colorado.edu
------------------------------
Date: Wednesday, 17 May 1995 17:42:51 EDT
From: Dave.McKeown@MAPS.CS.CMU.EDU
Subject: Research Positions at MAPSLab/CMU
Research Staff Positions in Remote Sensing and Computer Science
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Applications are invited for research staff positions in the general areas
of digital cartography, remote sensing, advanced distributed simulation, and
computer vision. Positions are available at several levels, including
research programmer, senior research programmer, project scientist, and post
doctoral research faculty. All positions are within the School of Computer
Science at Carnegie Mellon University. Post doctoral positions are tenable
for two years with possibilities for appointment to the regular Research or
Systems Faculty track within the School.
The successful applicant will be expected to play a major role in the
current and future research efforts within the Digital Mapping Laboratory.
Our research is broadly focused on the automated interpretation of remotely
sensed data including high resolution aerial imagery and multispectral
imagery such as SPOT, Landsat TM, and Daedalus scanner data. Current areas
of investigation include knowledge-based scene analysis; cultural feature
extraction (road network and building detection and delineation); automated
scene registration and stereo matching; intensification and manipulation of
large-scale spatial databases; and the use of these databases in the
construction of large scale virtual worlds for advanced distributed
simulation. Applicants at all levels are expected to be proficient in the
implementation of large scale software systems within a UNIX/C/X11 environment.
We seek applicants for the following research areas:
--Digital cartographer. The candidate must have significant experience with
the manipulation of digital cartographic data in various formats (DMA ITD
and VPF, USGS DLG and LULC, and others) within the context of GIS
applications. Prior work in the generalization, aggregation, and editing of
digital feature data is relevant. Research issues include the generalization
and combination of spatial data from diverse sources to be used in the automated
generation of large scale virtual world simulation databases. Data sources
will consist of standard DMA and USGS products as well as the results of
automated computer vision systems. The successful applicant will be responsible
for leadership in the design and implementation of prototype systems to automate
the spatial data fusion process.
--Remote sensing specialist. The candidate must have experience in performing
analysis and classification using multispectral imagery, particularly using
advanced airborne or hyperspectral systems with high spatial resolution.
Research emphasis will be placed on the development of classification algorithms,
the rigorous evaluation of the results, and the fusion of those results with
information from other sources such as digital elevation models, a priori
digital map data, and results from automated computer vision systems.
--Visual simulation specialist. The candidate should have experience with
terrain based simulation applications involving the efficient display and
modification of runtime databases using advanced SGI hardware (including
Performer and Inventor toolkit experience) and experience with X11 and Motif
programming. In addition the applicant will be expected to participate in
research in the area of applied computational geometry and the implementation
of efficient algorithms for database construction. Experience with SIMNET,
CCTT, or other related distributed visual simulation systems is a plus.
--Computer graphics programmer. The candidate must have experience in the
display and manipulation of digital imagery and spatial (cartographic) data.
Knowledge of the X11 toolkits, Motif, and previously experience in the design
and development of scientific user interfaces is required.
A strong background in one or more of these areas or related areas is required.
Excellent written and verbal communication skills are also expected. Applicants
should send a curriculum vitae and names of at least three references to:
David M. McKeown, Jr.
Principal Research Computer Scientist
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA 15213
maps@cs.cmu.edu
For more information regarding the Digital Mapping Laboratory and its projects:
http://www.cs.cmu.edu/~MAPSLab
Carnegie Mellon is an Equal Opportunity/Affirmative Action employer.
Carnegie Mellon University does not discriminate and Carnegie Mellon University
is required not to discriminate in admission, employment, or administration of
its programs on the basis of race, color, national origin, sex or handicap in
violation of Title VI of the Civil Rights Act of 1964, Title IX of the Educational
Amendments of 1972, and Section 504 of the Rehabilitation Act of 1973 or other
federal, state or local laws, or executive orders.
------------------------------
Date: Fri, 19 May 95 16:21:00 EDT
From: jeremy@medusa.datacube.com (Jeremy Riecks)
Subject: Job Posting
JOB OPENING
SONY Factory Automation Division
SENIOR REAL-TIME MACHINE VISION APPLICATION SOFTWARE DEVELOPER
JOB DESCRIPTION:
The successful applicant for this position will be primarily responsible for
designign and developing application software for industrial, production
environment machine vision applications. This position will require
participation in a small team to design and develop reliable and durable
machine vision products to be used in factories with innovative approaches.
Application analysis and customer support are required when working with
customers on their specific applications. In additon, this position may
involve assisting the manager in product definition, application
specification, and proposal preparation. Some travel to, and work at,
customer sites may be necessary.
A Master's Degree in Computer Science or Computer Engineering is preferred.
A Bachelor's Degree with equivalent experience will be considered.
Extensive knowledge and experience in machine vision applications and
real-time UNIX operating systems are required.
REQUIRED KNOWLEDGE
1. Extensive knowledge of Real-Time UNIX and Image Processing.
2. Excellent 'C' language computer programming skills.
3. Adequate background in computer hardware design.
4. Familiarity with general computer related products/processes.
SPECIFIC PRODUCT EXPERIENCE
Industrial VME-based image processing equipment experience, such as
hardware/software from DATACUBE, INC.
WORK AREA
Orangeburg, NY (45 minutes North of New York City)
Please send a letter of interest and curriculum vitae to:
Dr. Chinchuan Chiu
Staff Engineer
SONY Factory Automation Division
560 Rt. 303
Orangeburg, NY 10962
------------------------------
Date: Wed, 17 May 1995 20:23:33 -0400
From: David Bader <dbader@Glue.umd.edu>
Subject: Announcement: Parallel Algorithms for Image Enhancement and Segmentation
ANNOUNCEMENT:
PARALLEL ALGORITHMS for IMAGE ENHANCEMENT and SEGMENTATION by
REGION GROWING with an EXPERIMENTAL STUDY
We have released our technical report entitled ``Parallel Algorithms
for Image Enhancement and Segmentation by Region Growing with an
Experimental Study,'' by David A. Bader, Joseph Ja'Ja', David Harwood,
and Larry S. Davis. Technical Report Number: CS-TR-3449 and
UMIACS-TR-95-44. Institute for Advanced Computer Studies (UMIACS),
University of Maryland, College Park, May 1995.
The paper is available in HTML and PostScript format via WWW:
http://www.umiacs.umd.edu/~dbader
or via anonymous ftp to:
ftp://ftp.cs.umd.edu/pub/papers/papers/3449/3449.ps.Z
If you prefer a hardcopy, please reply to this message and send me
your mailing address.
ABSTRACT:
This paper presents efficient and portable implementations of a
useful image enhancement process, the Symmetric Neighborhood Filter
(SNF), and an image segmentation technique which makes use of the SNF
and a variant of the conventional connected components algorithm which
we call delta-Connected Components. Our general framework is a
single-address space, distributed memory programming model. We use
efficient techniques for distributing and coalescing data as well as
efficient combinations of task and data parallelism. The image
segmentation algorithm makes use of an efficient connected components
algorithm which uses a novel approach for parallel merging. The
algorithms have been coded in Split-C and run on a variety of
platforms, including the Thinking Machines CM-5, IBM SP-1 and SP-2,
Cray Research T3D, Meiko Scientific CS-2, Intel Paragon, and
workstation clusters. Our experimental results are consistent with the
theoretical analysis (and provide the best known execution times for
segmentation, even when compared with machine-specific
implementations.) Our test data include difficult images from the
Landsat Thematic Mapper (TM) satellite data. More efficient
implementations of Split-C will likely result in even faster execution
times.
David A. Bader
Electrical Engineering Department
A.V. Williams Building
University of Maryland
College Park, MD 20742
Office: 301-405-6755
FAX: 301-314-9658
Internet: dbader@eng.umd.edu
WWW: http://www.umiacs.umd.edu/~dbader
------------------------------
Date: 22 May 1995 13:16:19 GMT
From: mhs@eng.cam.ac.uk (M.H. Syn)
Organization: Cambridge University Engineering Department, UK
Subject: Technical Report
The following technical report is available by anonymous ftp from the
archive of the Speech, Vision and Robotics Group at the Cambridge
University Engineering Department.
FEM Eigenmodes as Shape Features
Michael Syn and Richard Prager
Technical Report CUED/F-INFENG/TR211
Cambridge University Engineering Department
Trumpington Street
Cambridge CB2 1PZ
England
Abstract
The Finite Element Method (FEM) solution of the \textit{wave
equation} which governs the behaviour of elastic structures leads
to a generalised eigenproblem. The eigenvectors of this eigenproblem
are known as \textit{eigenmodes} or \textit{mode shapes}, which we
present as an ideal set of shape features for use in model-based 3D
ultrasound imaging.
We derive from first principles a framework for the modelling of
volumetric linear elastic structures, using the Principal of Virtual
Work. This allows us to construct mass and stiffness matrices which
describe the shape and physical properties of a shape model.
We go on to examine the properties of the FEM eigenmodes of an
elastic shape model, and the suitability of such a model in
describing shape changes in biological structures. We show that
there is an intimate connection between this model, and a growth
model based on diffusion processes.
************************ How to obtain a copy ************************
a) Via FTP:
unix> ftp svr-ftp.eng.cam.ac.uk
Name: anonymous
Password: (type your email address)
ftp> cd reports
ftp> binary
ftp> get syn_tr211.ps.Z
ftp> quit
unix> uncompress syn_tr211.ps.Z
unix> lpr syn_tr211.ps (or however you print PostScript)
b) Via postal mail:
Request a hardcopy from
Michael Syn
Cambridge University Engineering Department,
Trumpington Street,
Cambridge CB2 1PZ,
England.
or email me: mhs@eng.cam.ac.uk
------------------------------
Date: Thu, 18 May 95 14:00:37 PDT
From: heeger@violet.Stanford.EDU (David Heeger)
Subject: CFP, Human Vision and Electronic Imaging
ANNOUNCEMENT AND CALL FOR PAPERS:
Conference on HUMAN VISION and ELECTRONIC IMAGING
SPIE/IS&T Symposium on Electronic Imaging: Science and Technology
January 28- February 2, 1996; Jose Convention Center, San Jose, CA.
CHAIRS:
Bernice Rogowitz, IBM T.J.Watson Res Ct.....rogowtz@watson.ibm.com
Jan Allebach, Purdue University.............allebach@ecn.purdue.edu
COMMITTEE:
Walter Bender, MIT Media Lab........walter@media.mit.edu
John Dalton, Apple Computer, Inc....dalton4@AppleLink.Apple.com
Gunilla Derefeldt, FOA (Sweden).... derefeldt at lin.foa.se
Jennifer Gille, Western Aerospace...Jennifer_Gille@qmgate.arc.nasa.gov
David Heeger, Stanford University...heeger@white.stanford.edu
Eugene Martinez-Uriegas, SRI Int....uriegas@crvax.sri.com
Yoiche Miyake, Chiba Univ. (Japan)..miyake@ics.tj.chiba-u.ac.jp
Thrasos Pappas, AT&T Bell Labs......pappas@research.att.com
Thomas Pappathomas, Rutgers Univ....papathom@gandalf.rutgers.edu
Adar Pelah, Cambridge University ...ap114@phx.cam.ac.uk
Robert Safranek, AT&T Bell Labs ....rjs@research.att.com
Zygmunt Pizlo, Purdue University .. pizlo@psych.purdue.edu
CONFERENCE DESCRIPTION:
The goal of this conference is to explore the role of human
vision, perception, and cognition in the design, analysis, and
use of electronic imaging systems.
Papers are welcome on basic and applied research in:
1) Human vision, perception and cognition
2) The application of human and computer models for human vision,
perception, and cognition to the design of systems which
scan, generate, process, compress, and display electronic images
3) Perceptual and cognitive issues in evaluating,
manipulating, and interpreting digital images
This conference was initiated eight years ago. Over the years, it has
brought together researchers from a wide variety of disciplines,
from all over the world, for a rich and lively exchange of ideas.
This dialogue is based on the growing understanding that
the human observer is a fundamental key to the advancement of image
systems, and that advances in these systems and applications
stimulate new research into the vision, perception, and cognition
of the human observer.
PAPERS ARE INVITED IN THE FOLLOWING AND RELATED AREAS:
o Models of Human Vision, Perception, and Cognition
o Color Perception and its Applications
- Models of Color Vision
- Color Constancy
- Perceptual Approaches to Device Independent Color
- Color Coding, Color Selection, Color Artifacts
o Psychophysical Assessment of Image Quality
o Quantization and Halftoning
- Perceptually-based Algorithms for Image Rendering
- Perceptual Effects of Spatial, Temporal and Chromatic Sampling
- Image Quality of Quantized and Halftoned Images
o Vision-Based Algorithms for Image Compression, Enhancement,
Restoration, and Reconstruction
o Higher-Level Processes
- Image Semantics, Segmentation, and Representation
- Applications for Attentive and Pre-Attentive Vision
- Task-Dependent Representations of Data
o Psychophysical Aspects of Multimedia and Image Management Systems
o Perception and Performance in Virtual Reality
o Interactive Exploration and Visualization of Data
==============================================================
Abstract: 500 words........................ Due July 3, 1995
Please include:
o Title
o Authors' Names and Affiliations
o Complete Addresses for All Authors
o Conference Title: Human Vision and Electronic Imaging
Chairs: Rogowitz/Allebach
o Key words
o 50-100 word biography
Send directly to SPIE:
Via Internet..(ASCII only ).....abstracts@mom.spie.org
Via Fax.........................(360) 647-1445
Via Mail.....(four copies)......IS&T/SPIE EI '96
SPIE, P.O. Box 10
Bellingham, WA 98225
==============================================================
Important Dates:
July 3, 1995: Abstract submission date
November 13, 1995: Camera Ready Abstract Due
January 2, 1995: Manuscripts Due
Bernice Rogowitz Jan Allebach
IBM T.J. Watson Research Center Purdue University
Yorktown Heights, NY 10598 West Lafayette, IN
rogowtz@watson.ibm.com allebach@ecn.purdue.edu
(914) 784-7954 (317)494-3535
------------------------------
Date: 18 May 1995 21:18:31 GMT
From: estes@ece.ucdavis.edu (Robert Estes)
Organization: U.C. Davis - Department of Electrical and Computer Engineering
Subject: Announcement: SPIE96 Very High Resolution and Quality Imaging
ELECTRONIC IMAGING SYMPOSIUM, SAN JOSE, CALIF. JANUARY 27-FEBRUARY 2, 1996
Very High Resolution and Quality Imaging
Conference Chairs: V. Ralph Algazi, Univ. of California/Davis; Sadayasu Ono,
NTT Optical Network Systems Labs. (Japan); Andrew G. Tescher, Lockheed Palo
Alto Research Lab.
The theme of the conference is imaging and image and document communications
for professional use, for which a control of image quality is critical. The
conference will address technical issues in image quality, image processing,
and compression, in the context of advanced applications and of user
communities.
Although much of image processing and principally the image and video
coding activities have been dominated by the use and for the support of
existing applications, such as television, or for rate-limited communications,
such as low bit rate video-conferencing, the future use of electronic imaging
and image communications in society, from the workplace, to research and
instruction, to medicine, etc., has to meet the needs and professional
requirements of these user communities. The current professional use of images
and documents, as well as of photography and film, already set quality
requirements that electronic imaging has to meet or exceed.
This conference will serve as a forum for the presentation and
discussion of electronic imaging quality and resolution requirements in art,
medicine, and digital libraries; in very high quality professional documents
and in film and multimedia communications. It will include invited
presentations and unsolicited papers on quality requirements, on image
representation and coding, and on image access and communications.
Papers are solicited in the following areas:
* Electronic Image Quality Requirements in Applications
- art, printing
- medicine
- digital libraries
- multimedia, cinema, and animation.
* Image Representation and Coding
- evaluation of existing techniques
- error control in representation and coding
- new methods for high-quality progressing schemes
- pre- and post-processing to improve quality.
* Systems and Projects
- digital libraries, archives, and collections
- medical imaging systems
- multimedia integration
- remote access and transmission systems
- hardware and devices.
This conference is just one of nearly 30 conferences to be held at the EI'96
symposium. And EI'96 is just part of the larger Photonics West Symposium being
held 27 January - 2 February 1996, San Jose Convention Ctr., San Jose,
California USA.
TO OBTAIN ALL CALLS FOR PAPERS ELECTRONICALLY
The calls for papers for all conferences in the Photonics West symposium will
be available early June on
SPIE Web
(http://www.spie.org/web/meetings/calls/pw96_home.html),
by anonymous FTP
(ftp://spie.org/meetings/calls/pw96*),
or by e-mail file retrieval
send a message to info-optolink-request@spie.org with the following in the
message body:
send [meetings.calls]pw96*}
For a printed call for papers or other information:
E-mail: pw96@spie.org
Fax: 360/647-1445 (*)
Phone: 360/676-3290 (*)
Electronic Imaging '96 DEADLINES
Paper Abstracts Due from Authors:
3 July 1995
Advance Programs due from Chairs:
31 July 1995
Manuscripts Due from Authors:
2 January 1996
GUIDELINES FOR SUBMITTING AN ABSTRACT
Send a 500 word abstract of your paper, by the appropriate deadline, in ONE of
the following ways:
>>mail (please mail 4 hard copies) to:
IS&T/SPIE Electronic Imaging '96
SPIE, P.O. Box 10, Bellingham, WA 98227-0010
Shipping Address: 1000 20th Street, Bellingham, WA 98225
Telephone: 360/676-3290 (*)
>>electronic mail in ASCII format to Internet abstracts@spie.org
(Please send one submission per email message.)
>>fax to SPIE at 360/647-1445 (*)
(Please send one submission per fax.)
Be sure each abstract includes the following:
1. CONFERENCE CHAIR and CONFERENCE TITLE (submit to ONLY ONE conference)
to which the abstract is submitted
2. AUTHOR LISTING (List principal author first)
for each author: full name [first(given) last(family] and affiliation,
mailing address, phone/fax numbers, email
3. ABSTRACT/PAPER TITLE
4. ABSTRACT TEXT: 500 words typed on white paper
5. KEYWORDS: maximum of 5 keywords
6. BRIEF BIOGRAPHY of the principal author: 50-100 words
Please contact SPIE if you have any questions or require further information.
(*) Please note:
SPIE's area code changed from 206 to 360 in February 1995. If you experience
any difficulty using the 360 area code, please use 206 and notify SPIE, your
local phone company, and the people in charge of the phone system from where
you placed your call. You may also call 1-800-441-5516 to report the
difficulty. Thank you for your patience while US West and other regional phone
companies fix this problem. You may also call SPIE at 800/483-9034, a
temporary number for use during this transition to the new area code.
Robert estes@cipic.ucdavis.edu
Center for Image Processing and Integrated Computing (CIPIC)
University of California, Davis 95616
http://info.cipic.ucdavis.edu/~estes/index.html
Phone: (916) 752-8224
------------------------------
Date: Mon, 22 May 95 10:08 BRT
From: "Luciano da F.Costa" <LUCIANO@ifqsc.sc.usp.br>
Subject: Special Issue RTI
REAL-TIME IMAGING
Special Issue on NATURAL AND ARTIFICIAL IMAGING AND VISION
Guest Editors:
L. da F. Costa, Cybernetic Vision Research Group, IFSC - University
of Sao Paulo, Brazil,
J. Daugman, The Computer Laboratory, University of Cambridge, UK,
and
M. D. Levine, Centre for Intelligent Machines, McGill University,
Canada
*Aims and Scope*: While artificial approaches to real-time vision have
enjoyed rather limited success, biological vision systems have for
millions of years been excelling in these very same tasks. In fact,
There is no doubt that real-time solutions to the most challenging
problems in image understanding can be found in biological systems.
However, they have been concealed by nature and thus far the neural
code has not been broken.
Novel results from neuroscience, which have to a large extent focused
on visual processing and been catalysed by advances in computer
science and technology, provide a wealth of insights that should not
be overlooked by the researcher in computer vision. This Special Issue
will concentrate on the interplay between natural and artificial
vision as a means of contributing, not only to a better understanding
of biological visual systems, but also as a means of obtaining more
powerful and versatile real-time artificial solutions to vision
problems.
Submissions reporting developments on such issues, and focusing on
their real-time aspects, are welcome. Prospective authors are invited
to submit four copies of laser-printed manuscripts written in English
to Alexander Stoyenko at the address below before 15th October 1995.
All submissions should conform to the format adopted by the Real-Time
Imaging periodical.
*Submission deadline*: 15th October 1995
*Areas covered include but are not limited to*:
* Computer Vision
* Biologically-inspired methods and architectures
* Active Vision
* Computational aspects of Neuroscience
* Pattern recognition
* Optical computing
* Simulation and Modelling
*Address for submission*:
Alexander D. Stoyenko,
Co-Editor-in-Chief, REAL-TIME IMAGING, P.O. Box 668
Millwood, New York, 10546 USA
jrti@rtlab12.njit.edu
INSTRUCTIONS FOR AUTHORS:
The submission of a manuscript will be taken to imply that the
material is original and has not been submitted in equivalent
form for publication elsewhere. Manuscripts are accepted for
review on the understanding that all persons listed as authors
have given their approval for the submission, and that any person
cited as a source of personal communication has approved such
citation. To speed handling, please supply your telephone, fax
and e-mail address, together with your mailing address. Articles
and other materials published in Real-Time Imaging represent the
opinions of the authors, and should not be construed to reflect
the opinions of the Editors or Publisher.
Copyright permission
Authors submitting a manuscript do so on the understanding that
if it is accepted for publication, exclusive copyright in the
article shall be assigned to the publisher. The publisher will
not put any limitation on the personal freedom of the author to
use material contained in the paper in other works.
Manuscript preparation
If the manuscript is being submitted in paper form, it should be
typewritten, double-spaced with one inch margins on all sides,
using 8 1/2 x 11 inch paper, one side only. Each page of the
manuscript should be numbered, and illustrations, tables and
listings should be attached separately at the end with an
appropriate caption list. One illustration or table should
appear per page. Articles should be concise and in English.
An abstract must accompany each manuscript and should not
normally exceed 200-500 words. It should be intelligible to the
general reader without reference to the main text. No references
or abbreviations should be used in the abstract.
Style
The journal will use the style described for IEEE transactions
Tables and figures
All figures must be cited in the text and the legends should be
numbered consecutively with arabic numerals. Legends should be
sufficiently detailed to allow understanding without reference
to the text.
One colour illustration per paper is permitted.
Footnotes
Footnotes should be used sparingly and indicated by consecutive
numbers in the text.
Acknowledgments should be included at the end of the text, and
not as footnotes.
References
References should be numbered consecutively in the order in which
they are first mentioned in the text in square brackets. If
cited in tables or figure legends, references are to be numbered
according to position in the manuscript. In the reference list,
all authors should be cited.
Corrections
Authors are expected to correct and return page proofs to the
Publisher within a week of receipt. Authors are responsible for
the costs of changes, additions or corrections other than the
printer's or publisher's errors, although the publisher may waive
such charges.
Reprints
Authors will receive fifty offprints free of charge.
------------------------------
Date: 17 May 1995 12:58:57 GMT
From: Thomas Rahmlow <rahmlow@tu-harburg.d400.de>
Organization: University of Hamburg -- Germany
Subject: EUROPEAN SUMMER COURSE ON RECENT ADVANCES IN IMAGE PROCESSING TECHNIQUES
EUROPEAN SUMMER COURSE ON RECENT ADVANCES IN IMAGE PROCESSING TECHNIQUES
4-8 September 1995, Hamburg, Germany.
Organised by ESPRIT/BRA 7130 (NAT)
and hosted by the University of Technology of Hamburg-Harburg.
A course on 'Recent Advances in Image Processing' will be held in
the Department of Information and Communication Sciences at the
University of Technology Hamburg-Harburg on 4-8 September 1995
presented by instructors drawn from five European Universities
active in the field of image processing research as well as
practical sessions given by invited speakers from industry.
The course will be spread over five days and will include formal
lectures complemented by 'hands on' sessions, as well as a visit to
the Mikroelektronik Anwendungszentrum Hamburg (MAZ). Social events
will also be arranged in conjunction with the course, including a
Reception at the City Hall of Harburg. All attendees will be given
a comprehensive set of lecture notes.
WHO SHOULD ATTEND
The course will be of interest to engineers, software developers,
systems developers, research scientists and PhD students, involved in
image processing research and development.
Application areas may be as diverse as visual inspection, parallel
algorithms and systems and medical imaging. A basic knowledge of
standard image processing techniques would be an advantage.
Particular emphasis will be given to nonlinear techniques.
Topics will be drawn from:
* Neural networks * Fuzzy techniques
* Colour and Motion * Sensor fusion
* Stack filtering * Chaotic Systems
* Morphological Filtering * Median and order statistics
* Polynomial filters * Applications in speech,
* Pattern recognition image and image sequence
* Architectures processing.
* Parallel implemantation
Provision will be made for "HANDS ON" sessions.
Instructors will be provided from:
Prof I. Pitas, Univ. of Thessaloniki, Greece,
Prof H. Burkhardt and
Dr Michael Noelle, Univ. of Technology Hamburg, Germany,
Prof G. Sicuranza and
Dr F. Russo, Univ. of Trieste, Italy,
Dr S. Marshall, Univ. of Strathclyde, UK,
Prof M. Gabbouj, Tampere Univ. of Technology, Finland.
Full details are available by EMAIL or WWW.
To register your interest please send a note (preferably be email)
with your name, address and email to:
Prof. Hans Burkhardt, Dept. of Technische Informatik I,
University of Technology of Hamburg-Harburg,
Harburger Schlossstr. 20,
21079 Hamburg,
GERMANY
email: nat@tu-harburg.d400.de
URL : http://www.ti1.tu-harburg.de/~nat/course95.html
The course has been endorsed by,
European Commission,
Freie und Hansestadt Hamburg,
Mikroelektronik Anwendungszentrum Hamburg (MAZ),
Parsytec Computer GmbH, Aachen,
INFORMATION
VENUE
The course will be held at the
University of Technology Hamburg-Harburg,
Harburger Schlossstr. 20.
FEES
Course fee: DM 1.200,- (incl. 15% VAT)
Reduced rate for students: DM 800,- (incl. 15% VAT).
The course fee includes lunches, coffee breakes; all lectures;
practical sessions; a copy of course notes; Course Dinner;
Welcome Reception at the City Hall of Harburg; a visit to the MAZ.
REGISTRATION
All participants are kindly requested to complete and return the
registration
form to the TUHH-Technologie GmbH. An invoice will be sent to each
registered
person.Cancellations must be received in writing before August 4, 1995
(refund
less DM 240,- incl. 15% VAT). No refunds will be given after August 4, 1995.
PAYMENT
Payments should be made net of all bank charges and commission to
TUHH-Technologie GmbH.
Please indicate your company, name and address on any cheque or bank
transfer,
keyword "NAT-summer course".
Cheque payable to
TUHH-Technologie GmbH
Bank Transfer to Vereins- und Westbank,
BLZ 200 300 00, Account: 16/449 88
All payments must arrive before August 4, 1995. Additional fee for late
payment DM 60,-- (incl. 15% VAT) per person. Any difference can be asked at
the check-in desk.
ACCOMMODATION
We have pre - reserved a block of rooms (special rates) in
Hotel Panorama (breakfast included)
Harburger Ring 8 - 10 single room DM 139,-
21073 Hamburg double room DM 170,-
Tel.: +49/40/76695-0 room-sharing/half
FAX: +49/40/76695183 double room DM 85,-
Please contact the hotel directly, keyword "NAT-summer course".
Deadline: August 4, 1995
REGISTRATION FORM
RECENT ADVANCES IN IMAGE PROCESSING
Last Name: ........................................
First Name: ........................................
Title: | | Prof. | | Dr. | | Mrs. | | Mr.
Company/
Organisation: ........................................
Job Title: ........................................
Street: ........................................
Post Code: ........................................
City: ........................................
Country: ........................................
Tel.No.: .............. Fax No.: ................
Email:
......................................................
Date Signature
Registration fee DM 1.200,-
Reduced rate for students DM 800,- (copy of student card)
The course fee includes lunches; coffee breakes; all lectures;
practical sessions; a copy of course notes; Course Dinner;
a visit to the Mikroelektronik Anwendungszentrum Hamburg;
Welcome Reception at the City Hall of Harburg.
| | money order DM............
| | cheque (enclosed) DM............
All payments must arrive before August 4, 1995.
Additional fee for late payment DM 60,- per person.
Please send your registration to
TUHH-Technologie GmbH
Eissendorfer Str. 38
21073 Hamburg
Germany
------------------------------
End of VISION-LIST digest 14.19
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