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VISION-LIST Digest Volume 11 Issue 33
VISION-LIST Digest Fri Sep 11 10:48:05 PDT 92 Volume 11 : Issue 33
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Today's Topics:
Range Image Biblio Survey
Sensor placement
Cylinder detection
Robot Vision info request
Canny edge detector needed
RA post in Computer Vision
Position Available: Industrial Position in Automated Image Analysis at GE
Paper on NN's and Vision
WACV Advance Program
Khoros Image Processing Course
----------------------------------------------------------------------
Date: Fri, 11 Sep 1992 10:24:29
From: gilberto.campos@cen.jrc.it (Gilberto Campos)
Subject: Range Image Biblio Survey
Hi fellows!
I've been working in the field of range image segmentation.
Now I need to prepare a deeper survey on the following issues:
1.Techniques for range finding and range image acquisition;
2.Range Image segmentation;
3.Geometrical reasoning for world modelling and model matching;
Can any of you give me pointers to good pieces on these subjects?
Thanks a lot.
Gilberto Campos |
Joint Research Centre of Ispra | E-Mail: gilberto.campos@cen.jrc.it
T.P.270 |
21020 ISPRA (VA) | Tel: + 39 + 332 + 785762
ITALY | Fax: + 39 + 332 + 789185
------------------------------
Date: 10 Sep 1992 10:58:54 +0200
From: benamar@lai1.univ-lyon1.fr (Chokri BENAMAR)
Subject: Sensor placement
Would somebody point out to me some recent papers in the methods of sensor
placement for vision task requirements.
I'm trying to find the possible camera locations for observing an object in a robotic
cell.
thanks in advance
Chokri BEN AMAR
LAI-BAT.303-INSA
20 Avenue A.Einstein 69100 Villeurbanne
TEL:(33)72.43.81.98
FAX:(33)72.43.85.15
E-MAIL:benamar@lai1.univ-lyon1.fr
------------------------------
Date: Mon, 7 Sep 1992 13:52:59 GMT
From: wink@fwi.uva.nl (Onno Wink (I88))
Organization: FWI, University of Amsterdam
X-Phone: +31 20 525 5200
X-Telex: 16460 facwn nl
X-Fax: +31 20 525 5101
Subject: Cylinder detection
I have just started doing some research about detecting "points of
interest" in several real world pictures.
Therefore it is neccesary to detect cilinders and pipe's in a real-world
environment which is noisy and contains strange light effects.
I would appreciate it if someone would give me a list of articles
on this matter.
thanks
Onno Wink
(wink@gene.fwi.uva.nl).
------------------------------
Date: Mon, 7 Sep 92 17:38:54
From: "Javier Argomedo Z." <P5JARGOM%UTFSM.BITNET@VTVM2.CC.VT.EDU>
Subject: Robot Vision info request
Hi friends,
I'm starting a project on Robot Vision, at my University we
have an old package for educational applications, its
name is ViewFlex (and RobotVision) from ESHED ROBOTEC,
have you any references of this package, or have you any info
on the algorithms used for object recognition and segmentation ??
Any help is well received.
Another question, where can i find Neural Nets algorithms for
computer visios, is there any ? Are other FTP sites with vision
programs (another than FTP.ADS.COM) ???
Thanks you very much.
Javier Argomedo Zazzali e-mail <p5jargom@utfsm.bitnet>
UTFSM University
Valparaiso, Chile
------------------------------
Date: 8 Sep 92 22:59:56 GMT
From: cllin@cs.umd.edu (Bruce Chih-Lung Lin)
Organization: U of Maryland, Dept. of Computer Science, Coll. Pk., MD 20742
Subject: Canny edge detector needed
Hi,
I'm looking for a Sun Common Lisp version of Canny edge detector or
C version .
I would really appreciate if anybody out there could send me a copy
of that or tell me how I could get it .
Thanks in advance.
Bruce Lin
(cllin@von.umd.edu)
------------------------------
Date: Mon, 7 Sep 92 11:43:36 BST
From: John Oakley <john@spec0.ee.man.ac.uk>
Subject: RA post in Computer Vision
University of Manchester
Multimedia Information Systems group
Dept of Electrical Engineering
Senior Research Associate (grade 2, 3 years)
Vision algorithms for airborne cameras.
Applications are invited for a three year research associateship with
the Multimedia group at Manchester University. The post will be
available from 1st October 92 or as soon as possible thereafter.
The research will be concerned with robust methods for feature
extraction and object recognition in terrain image sequences. An
important aspect of the work will be the fusion of image feature
information with a terrain database and with information from
navigation instruments.
We are looking for a creative person with relevant research experience
(PhD preferred) who will be able to make a significant contribution in
this important area. The project will draw on substantial expertise
with the Multimedia group in the areas of visual databases and in
robust image analysis algorithms
The project is in collaboration with British Aerospace PLC. Salary
will be on the grade 2 scale, currently 18,572 - 26,526 (under
review). Applications in the form of a full CV should be sent to:
Dr John P. Oakley
Dept Electrical Engineering
University of Manchester
Oxford Rd
Manchester M13 9PL
------------------------------
Date: Wed, 9 Sep 92 13:31:19 EDT
From: nobleja@tuscarora.crd.ge.com (Julia A. Noble)
Subject: Position Available: Industrial Position in Automated Image Analysis at GE
Industrial Position in Automated Image Analysis
GE Aircraft Engine (Cincinnatti,OH) / GE Corporate Research & Development
Center (Schenectady, NY)
GE Aircraft Engine/GE Corporate Research & Development Center invites
applications for an opening on the Advanced Technology Development
Program (ATD Program).
The ATD Program offers a unique entry pathway into industrial research
and development. The successful applicant will spend a period of
approximately 2 years at the GE Corporate Research & Development
Center (CRD), Schenectady NY. During this time, the trainee will be
attached to an established project developing leading-edge image
analysis techniques and software tools for industrial inspection and
process monitioring. After graduation from the program, the
successful applicant will transfer to GE Aircraft Engines,
Cincinnnati, OH. At GE Aircraft Engines, he/she will continue to work
closely with the CRD team and be responsible for developing and
transitioning advanced image analysis applications to aircraft engine
facilities.
The successful applicant will be highly self-motivated, have excellent
communication skills, work well in a team, and show leadership
potential. He/she will have a MSc (EE or CS) in image processing,
pattern recognition, or image understanding and practical experience
in the areas of medical imaging, industrial imaging or remote sensing.
He/she will be proficient in C programming and with using UNIX and X
windows. Other desirable qualifications include knowledge of
object-oriented methodology and C++ experience.
If interested, please send resume (electronically is fine) to:
Dr. J. Alison Noble
Automated Imaging Technology Program
GE Corporate Research & Development Center
PO Box 8
1 River Road
Schenectady, NY 12301
USA
(email nobleja@crd.ge.com)
This is an immediate opening. Preference will be given to applicants who
can start work before 31 December 1992. US citizenship is required.
GE is an equal opportunity/affirmative action employer.
Women and minorities are encouraged to apply.
------------------------------
Date: Wed, 9 Sep 92 21:00:29 +0100
From: speeba@thor.cf.ac.uk (Eduardo Bayro)
Organization: University of Wales College of Cardiff, Cardiff, Wales, UK
Subject: Paper on NN's and Vision
Dear friends!
We have had many requests for our paper "Neural Computing for Noise
Filtering, Edge Detection and Signature Extraction" by D.T. Pham and
E.J. Bayro-Corrochano. We have now run out of offprints. The paper has
photos so we cannot offer a postscript copy via ftp.
The paper is published in The Journal of Systems Engineering, 2(2), 111-122 ,
1992, Springer Verlag.
Thank you for your interest in our work.
Eduardo.
------------------------------
Date: Thu, 10 Sep 92 16:46:16 PDT
From: wacv@engrlab.ucr.edu (WACV)
Subject: WACV Advance Program
ADVANCE PROGRAM: IEEE Workshop on Applications of Computer Vision
November 30 - December 2, 1992
Palm Springs Riviera Resort & Racquet Club
1600 North Indian Canyon Drive, Palm Springs, CA 92262
Sponsored by:
IEEE Computer Society, Institute of Electrical and Electronics Engineers (IEEE)
General Chairman: Bir Bhanu, University of California, Riverside
Program Co-Chairmen: Charles Dyer, University of Wisconsin, Madison
Martin Herman, National Institute of
Standards and Technology
Financial Chairman: Subhodev Das, University of California, Riverside
Publicity & Local
Arrangements Chairman: Matthew Barth, University of California, Riverside
Program Committee:
Minoru Asada, Osaka University
Matthew Barth, University of California, Riverside
Bruce Batchelor, University of Wales
Ruud Bolle, IBM T.J. Watson Research Center
Peter Burt, David Sarnoff Research Center
Ernst Dickmanns, University Bundeswehr Muenchen
Ed Delp, Purdue University
Masakazu Ejiri, Hitachi Incorporated
Olivier Faugeras, INRIA
Oscar Firschein, DARPA
Bruce Flinchbaugh, Texas Instruments
Herb Freeman, Rutgers University
Kicha Ganapathy, AT&T
Don Gerson, ORD
Allen Hanson, Univ. of Massachusetts
Rick Holben, Odetics Incorporated
Katsushi Ikeuchi, Carnegie Mellon University
Ramesh Jain, University of Michigan
Martin Levine, McGill University
Joe Mundy, General Electric
Ram Nevatia, University of Southern California
Andre Oosterlinck, Catholic University of Leuven
Azriel Rosenfeld, University of Maryland
Jorge Sanz, IBM, Almaden Research Center
Banavar Sridhar, NASA Ames Research Center
Sargur Srihari, SUNY Buffalo
Tom Strat, SRI
Chuck Thorpe, Carnegie Mellon University
INVITATION
It is our pleasure to extend to you an invitation to attend the first IEEE
Workshop on Applications of Computer Vision being held in Palm Springs,
California. The program consists of high quality contributed papers
covering diverse applications of computer vision, two keynote
presentations, and a panel session. We hope to have an exciting meeting in
which academic, industrial, and governmental researchers from around the
world will discuss various applications of computer vision. This will allow
researchers in the different areas to interact and exchange ideas, so that
applications are thoroughly understood and there is a transfer of concepts
from one area to another. We appreciate your interest in this conference and
look forward to seeing you in beautiful Palm Springs. If you have any
questions, don't hesitate to contact Professor Bir Bhanu, General
Chairman, at bhanu@shivish.ucr.edu; Tel: (714) 787-5190, Fax: (714) 787-3188.
GENERAL INFORMATION
Palm Springs Desert Resorts include eight cities located in the Coachella
Valley, just outside the Los Angeles Basin. Temperatures are ideal during
November and December, warm during the days (~80 deg. F) and cool during
the nights (~65 deg. F). There are over 70 golf courses, hundreds of boutiques
and shops, the finest restaurants, theaters and nightclubs, and a variety of
sightseeing tours available to art galleries, museums, celebrity homes, the
Indian Canyons, and more. Other activities include hot-air ballooning,
riding the Palm Springs Aerial Tramway, and visiting the Oasis Water Resort.
Accomodations:
The Workshop is being held at the Palm Springs Riviera Resort & Racquet
Club, conveniently located near downtown Palm Springs and just 4 miles
from Palm Springs Municipal Airport. The resort features 480 guest rooms,
including 36 suites, and boasts the largest swimming pool in the area. The
resort also has nine tennis courts, an 18 hole championship putting course,
basketball, handball, volleyball, croquet, and a new health club.
Restaurants/bars at the resort include BoleroUs Restaurant, the famous
Sonny Bono's Restaurant, and the Hideaway Lounge featuring nightly
entertainment. A special room rate of $80 per night, single or double, has
been arranged for the workshop. In order to guarantee this special price,
please make reservations with the hotel by November 8, 1992.
Transportation:
Nonstop air service is available to the Palm Springs Regional Airport from
21 U.S. cities via such major airlines as Alaska, American, America West,
TWA, Delta, and United. The best way to get between the airport and the
hotel is by taxi, which is only a short ride (4 miles). Rental cars, of course,
are also available. By car, Palm Springs is approximately two hours from
the major Los Angeles airports (LAX, Burbank, Ontario, Orange County).
Schedule:
NOVEMBER 30, 1992
8:00 - 8:30 REGISTRATION
8:30 - 9:30 KEYNOTE ADDRESS
9:30 - 10:00 BREAK
10:00 - 12:05 SESSION M1: TRACKING AND MONITORING
Telecortex, R. Wallace, B. Bederson, E. Schwartz (Vision Applications
and NYU)
2. A Shadow Handler in a Video-Based Real-Time Traffic Monitoring
System, M. Kilger (Siemens)
3. Multiple Object Tracking System with Three Level Continuous
Processes, K. Fukui, H. Nakai, Y. Kuno (Toshiba)
4. Performance of Model-Based Tracking with Dynamic Constraints, K.
Baker, G. Sullivan (U. of Reading)
5. Interframe Interpolation of Cinematic Sequences, J. Ribas-Corbera, J.
Sklansky (U. of CA, Irvine)
12:05 - 1:30 LUNCH
1:30 - 3:10 SESSION M2: AERIAL IMAGE INTERPRETATION
1. PROMAP -- A System for Analysis of Topographic Maps, B.
Lauterbach, N. Ebi, Ph. Besslich (U. of Bremen)
2. Interactive Road Finding for Aerial Images, J. Hu, B. Sakoda, T.
Pavlidis (SUNY at Stony Brook)
3. Extracting Building Structures from a Stereo Pair of Aerial Images, R
Chung, R. Nevatia (USC)
4. Scale-Space Clustering and Classification of SAR Images with
Numerous Attributes and Classes, Y-F. Wong, E. Posner (Cal. Tech.)
3:10 - 3:40 BREAK
3:40 - 5:20 SESSION M3: ROBOTICS AND NAVIGATION I
1. Target Tracking and Range Estimation using an Image Sequence, R.
Talluri, W.C. Choate (Texas Instruments)
2. A System for Obstacle Detection during Rotocraft Low-Altitude Flight
B. Bhanu, B. Roberts, D. Duncan, S. Das (U. of CA, Riverside and
Honeywell)
3. New Visual Invariants for Obstacle Detection using Optical Flow
induced from General Motion, G-S. Young, T-H. Hong, M. Herman,
J. Yang (NIST and U. of Maryland)
4. Adaptive Control Techniques for Dynamic Visual Repositioning of
Hand-Eye Robotic Systems, N. Papanikolopoulos, P. Khosla (CMU)
5:30 - 7:30 WINE AND CHEESE RECEPTION
DECEMBER 1, 1992
8:30 - 10:10 SESSION T1: IMAGING AND 3D SURFACE ANALYSIS
1. Liquid Crystal Polarization Camera, L. Wolff, T. Mancini (Johns
Hopkins U.)
2. System-Level Design of Specialized VLSI Hardware for Computing
Relative Orientation, L. Dron (MIT)
3. Shape Recovery Methods for Visual Inspection, S. Nayar (Columbia
U.)
4. A Multiscale Analysis Model Applied to Natural Surfaces, F. Falzon,
G. Giraudon, M. Berthod (INRIA)
10:10 - 10:40 BREAK
10:40 - 12:20 SESSION T2: ROBOTICS AND NAVIGATION II
1. CARTRACK: Computer Vision Based Car Following, T. Zielke, M.
Brauckmann, W. von Seelen (Ruhr-Universitat Bochum)
2. Visual Processing for Autonomous Driving, H. Schneiderman, M.
Nashman (NIST)
3. Autonomous Landing of Airplanes by Dynamic Machine Vision, E.
Dickmanns, F-R. Schell (U. der Bundeswehr)
4. A Visually Guided Mobile Robot Acting in Indoor Environments, M.
Fossa, E. Ghezzi, E. Grosso, G. Sandini (U. of Genova)
12:20 - 1:45 LUNCH
1:45 - 3:50 SESSION T3: 2D SHAPE ANALYSIS
1. A Shape Analysis Model with Applications to a Character Recognition
System, J. Rocha, T. Pavlidis (SUNY at Stony Brook)
2. A Segmentation-Free Approach to OCR based on Indexing and Voting,
C-H. Chen, J. DeCurtins (SRI)
3. A New Methodology for Isolating and Diagnosing Inconsistencies in
Image Matching, as Applied to the Analysis of 2-D Electrophoretic
Gels, G. Markovich, M. Skolnick, M. Core (RPI)
4. Fiber Identification in Microscopy by Ridge Detection and Grouping, F
Glazer (Amerinex Art. Int.)
5. Invariant Matching and Identification of Curves using B-Splines Curve
Representation, F. Cohen, Z. Huang, Z. Yang (Drexel U.)
3:50 - 4:15 BREAK
4:15 - 5:45 PANEL SESSION
6:00 - 8:00 WINE AND CHEESE RECEPTION
DECEMBER 2, 1992
8:30 - 9:30 KEYNOTE ADDRESS
9:30 - 10:00 BREAK
10:00 - 12:05 SESSION W1: 2D IMAGE ANALYSIS AND MATCHING
1. The Registar Machine: From Conception to Installation, G. Medioni,
A. Huertas, M. Wilson (USC and Opti-Copy)
2. Target Recognition in Spatially-Varying Clutter, S Sridhar, G Healey
(U. of CA, Irvine)
3. A Segmentation Method for Multi-Connected Particle Delineation, X.
Wu, J. Kemeny (U. of Arizona)
4. Projectile Impact Detection and Performance Evaluation using Machine
Vision, B. Mobasseri (Villanova U.)
5. Interactive Map Conversion: Combining Machine Vision and Human
Input, F. Quek, M. Petro (U. of Michigan)
12:05 - 1:30 LUNCH
1:30 - 3:35 SESSION W2: INSPECTION
1. Automated Direct Patterned Wafer Inspection, B. Khalaj, H. Aghajan,
T. Kailath (Stanford U.)
2. Real Time Color Purity and Convergence Measurement Algorithms for
Automatic ITC Adjustment System, Z. Bien, D. Han, J. Park, J-W.
Lee, C. Oh (Korea Advanced Inst. of Sci. & Techn. and Samsung)
3. Restoration of Scanning Probe Microscope Images, G. Pingali, R. Jain
(U. of Michigan)
4. A Vision System for Inspection of Ball Bonds in Integrated Circuits,
A. Khotanzad, H. Banerjee, M. Srinath (Southern Methodist U.)
5. Algorithms for a Fast Confocal Optical Inspection System, A. Rao, N.
Ramesh, F. Wu, J. Mandeville, P. Kerstens (IBM)
REQUEST ADVANCE REGISTRATION FORM FROM:
IEEE Computer Society, Attn. Conference Department
1730 Massacusetts Avenue, N.W.
Washington, DC 20036
Tel: (202) 371-1013, Fax: (202) 728-0884
------------------------------
Date: Wed, 09 Sep 92 21:12:16 GMT
From: ddutta%jemez.eece.unm.edu@lynx.unm.edu (Debashis Dutta)
Organization: University of New Mexico, Albuquerque
Subject: Khoros Image Processing Course
THE UNIVERSITY OF NEW MEXICO
COLLEGE OF ENGINEERING & THE KHOROS GROUP PRESENTS
KHOROS SHORT COURSE AUGUST 5-7, 1992 (WED - FRI)
IN ALBUQUERQUE, NEW MEXICO.
IMAGE PROCESSING WITH KHOROS :
Course Description
The khoros software environment under development at the University
of New Mexico is widely used to develop solutions to image processing
problems. An extensive base of image processing routines is available
through the cantata visual language to quickly implement and test image
processing and analysis techniques. This "hands - on" course will introduce
the students to techniques commonly used for image enhancement restoration
(deblurring and noise removal), and analysis.
Methods to be covered include histogram modification, frequency
and spatial filtering and mathematical morphology. Students will apply
these techniques in the laboratory using KHOROS.
This three day course will combine both lecture and laboratory
sessions. Lectures will present image processing techniques combined
with laboratory sessions teaching students to apply these techniques
using KHOROS. No programming is required for this phase of the course.
On the last day, the students will learn to extend the power of KHOROS
by incorporating their own image processing routines.
Course Objectives
- Develop a strong intuitive understanding of digital image processing
- Recognize and correct image degradations
- Process images to emphasize important features and suppress
irrelevant details
- Apply linear and nonlinear filtering methods
- Design solutions to image processing problems using KHOROS
- Write and install image processing routines in KHOROS
Who Should Attend
Practicing engineers and managers who desire a fundamental
understanding of Digital Image Processing and who would like
to apply KHOROS system to image processing problem solving.
Prerequisites :
Some familiarity with signal processing concepts. For
the last day, knowledge of C programming knowledge is
desirable.
Instructor
Dr. Gregory Donohoe has worked in image processing and computer
visions for over 10 years, both in industry and academia. He has
taught image processing at the University of New Mexico's College
of Electrical and Computer Engineering for three years. He has used
the KHOROS system extensively to develop solutions to image processing
problems and is a contributor to the KHOROS system. Dr. Donohoe was
formerly a senior member of the technical staff at Sandia National
Laboratories and has taught image processing courses in Europe and
in the United States. Dr. Donohoe is currently performing research in
medical image processing and computer vision for scientific and
industrial applications.
For Details and Other Questions :
email : ddutta@jemez.eece.unm.edu or
donohoe@jemez.eece.unm.edu
------------------------------
End of VISION-LIST digest 11.33
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