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VISION-LIST Digest Volume 11 Issue 09
VISION-LIST Digest Mon Mar 02 12:34:28 PDT 92 Volume 11 : Issue 9
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Today's Topics:
Calibrated Trinocular Stereo data
About EULER number of a binary image
Looking for references on rotational and skew symmetry
Information on image boards for the VME bus
Looking for references on OCR methods and techniques
PD OCR code
Summer research opportunity for undergraduates (with $3000 stipend)
Announcing courses at Sussex University
References on aspect-based techniques (long)
Computer vision / robotics doctoral program (long)
Advance Program: AIS'92
FUZZ-IEEE'93 Call for papers
----------------------------------------------------------------------
From: J.Illingworth@ee.surrey.ac.uk
Date: Fri, 21 Feb 92 11:36:05 GMT
Subject: Calibrated Trinocular Stereo data
Hi, I have a need for well calibrated trinocular stereo data to test some
algorithms on. Does anyone have such data or know of a public archive where
it might be obtained. Any assistance will be much appreciated
Regards,
Dr. J. Illingworth, | Phone: (0483) 300-800 Ext. 2299
V.S.S.P. Group, | Fax : (0483) 34139
Dept of Electronic and Electrical Eng, | Email: J.Illingworth@ee.surrey.ac.uk
University of Surrey, |
Guildford, |
Surrey GU2 5XH |
United Kingdom |
------------------------------
Date: Wed, 26 Feb 92 16:57:37 +0100
From: buck@gris.informatik.uni-tuebingen.de (Thomas Buck)
Subject: About EULER number of a binary image
Dear people:
In the book of Mr. William Pratt, he tells at page 634 that Richard Duda
discovered (in his personal notes) a formula to compute the Euler number
of a binary image. It is the following:
4-connectivity: E = { n [Q1] - n [Q3] + 2n [Qd] } / 4
8-connectivity: E = { n [Q1] - n [Q3] - 2n [Qd] } / 4
where the masks Q1, Q3 and Qd are the following:
Q1 = 1 0 0 1 0 0 0 0
0 0 0 0 0 1 1 0
Q3 = 0 1 1 0 1 1 1 1
1 1 1 1 1 0 0 1
Qd = 1 0 0 1
0 1 1 0
My question is than the following. If the Euler formula is E = C - H,
and the E is given as above, do someone know some ways of calculating
C or H (in any way), so that having E and {C or H} we can calculate
{H or C} ?
Thank you very much in advance,
Thomas Buck
THOMAS DE ARAUJO BUCK [Internet] buck@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, 26 Feb 1992 21:55:52 GMT
From: brand@mephisto.ils.nwu.edu (Matthew Brand)
Organization: The Institute for the Learning Sciences, Evanston, IL
Subject: Looking for references on rotational and skew symmetry
Would somebody point out to me some recent papers in rotational and
skew symmetry? I'd like to catch up on the state of the art.
Please respond by email. I'll summarize and post.
thanks,
matt brand
------------------------------
Date: Fri, 28 Feb 1992 12:17:31 UTC+0200
From: miguel <miguel@iai.es>
Subject: Information on image boards for the VME bus
I would like to receive information on image boards for the VME bus (or S-bus
something alike).
We presently work on a PC with a Imaging Technology VS100AT. your comments on
these cards is welcome
Sincerely
Miguel.
------------------------------
Date: 21 Feb 92 15:11:33 GMT
From: ittc!schlitz!dscott@uunet.uu.net (Dave Scott)
Organization: Westinghouse - Simulators Division, Pittsburgh, PA
Subject: OCR Methods and Techniques
I'm posting this for a friend:
I'm looking for a *good* book on OCR programming methods
and techniques. I'm sure *somebody* has written text on
this subject. :-)
Would somebody shed some much-desired light?
Please send mail directly to: egan@ittc.wec.com
Thanks, :-)
dscott@ittc.wec.com -O^O- "Be happy...it's contagious"
David A. Scott \v/ -Anonymous
interLogic Software -O^O-
+1 412 785 8886 \v/
------------------------------
Date: Wed, 26 Feb 92 10:04:46 MET
From: "Mauro Magrassi (503014)" <gnat@dist.dist.unige.it>
Subject: PD OCR code
I am looking for public domain software for printed character recognition
from real monochromatic images. The code must be written in C language,
UNIX and X window versions are preferred.
Any info will be appreciated.
Thanks.
Mauro Magrassi
DIST - University of Genoa
e-mail: gnat@dist.dist.unige.it
------------------------------
Date: Wed, 26 Feb 92 22:12:47 CST
From: reich@ser.unl.edu (Stephen E. Reichenbach)
Subject: Summer research opportunity for undergraduates (with $3000 stipend)
ANNOUNCEMENT AND CALL FOR APPLICATIONS
THE INSTITUTE FOR VISUAL INFORMATION PROCESSING
June 8 to August 13, 1992
Computer Science and Engineering Department
University of Nebraska -- Lincoln
Sponsored by the
National Science Foundation
University of Nebraska--Lincoln, College of Arts and Sciences
Center for Communication and Information Science
The Institute for Visual Information Processing is a unique summer program
for undergraduate research in digital image processing and computer vision.
The ten-week program offers instruction, supervised laboratory research,
guest lectures, and visits to area laboratories. Students will receive a
stipend and subsistence and travel allowances totaling approximately $3,000.
Enrollment is limited to 10 students. The Institute will provide an
excellent introduction to an exciting field with a growing need for
well-trained scientists and engineers.
The program includes a three credit course in digital image processing,
taught by Dr. Stephen E. Reichenbach, and a three credit course in computer
vision, taught by Dr. Ashok Samal. Building on the class work, the focus
of the program is an experimental research experience in the UNL Computer
Vision and Image Processing Laboratory. Each student will undertake a
research project chosen from a wide-range of applications (such as remote
sensing, automated inspection, communication, and robotics) to be conducted
with guidance and assistance from the faculty and laboratory assistants.
The program also offers guest lectures from UNL researchers doing imaging
and vision related work in diverse disciplines and visits to government
installations and commercial organizations engaged in image and vision
computing such as the Earth Resources Observations Systems (EROS) Data Center,
Strategic Air Command (SAC), and MicroImages (a developer of mapping and
image processing software used world-wide). Scheduled social and recreational
events will also enhance the students' experience.
Students should have an academic background that includes experience with
a high-level programming language, introductory calculus, and elementary
statistics. We seek students from a variety of academic majors and encourage
the participation of underrepresented minorities, women, and persons with
disabilities. Only U.S. citizens and permanent residents are eligible.
The application deadlines and acceptance dates are:
Call for Applications January 31
Postmark for Early Acceptance March 16
Notification of Early Acceptance March 30
Postmark for Late Acceptance April 16
Notification of Late Acceptance April 30
For full consideration, students should apply for early acceptance.
Depending on the number and quality of applications, as many as 8 of the 10
students will be selected for early acceptance. Remaining slots will be
filled subsequently from the pool of all applications. Applicants should
forward: 1) a letter of application outlining their academic background
and including an address and telephone number, 2) grade transcripts, 3) the
name, address, and phone number of their collegiate advisor, and 4) two
letters of recommendation to:
Institute for Visual Information Processing
Computer Science and Engineering Department
University of Nebraska--Lincoln
Lincoln, NE 68588-0115
For more information, contact:
Professor Stephen E. Reichenbach
voice: (402) 472-5007
email: reich@cse.unl.edu
fax: (402) 472-7767
or
Professor Ashok Samal
voice: (402) 472-2217
email: samal@cse.unl.edu
fax: (402) 472-7767
------------------------------
Date: Fri, 21 Feb 1992 13:08:46 GMT
From: jamesg@syma.sussex.ac.uk (James S Goodlet)
Organization: University of Sussex at Brighton
Subject: announcing courses at Sussex University
CENTRE FOR ADVANCED SOFTWARE APPLICATIONS
The University of Sussex
We are pleased to offer the following 1 and 2 day Advanced Technology
Courses:
April 8th Computer Vision
April 9th Neural Networks
April 10th Computer Supported Cooperative Work
April 13-14th Software Analysis & Design: Practical Techniques for
Managing Uncertainty
Due to generous sponsorship from COMETT, these courses are offered at the
reduced rate of 130 pounds (240 pounds for the 2 day course). The course
fee covers tuition, documentation, light refreshments and lunch.
Sussex University is a major centre for Artificial Intelligence and
Computer Science research and teaching. All CASA courses are presented
by recognised experts in the field. Places are restricted: please book
early!
For further details and bookings contact:
Alison White
CASA
The University of Sussex, Brighton, BN1 9QH
(0273) 678448
alisonw@cogs.susx.ac.uk
School of Cognitive & Computing Sciences, Talk: +44-(0)273-606755 x2407
University of Sussex, JANET: jamesg@uk.ac.susx.cogs
Brighton BN1 9QH, UUCP: ...!mcsun!uknet!cogs!jamesg
United Kingdom Internet: jamesg%cogs.susx.ac.uk@nsfnet-relay.ac.uk
------------------------------
Date: Fri, 21 Feb 92 12:31:11 GMT
From: Manuel Trucco <mtc@cs.heriot-watt.ac.uk>
Subject: References on aspect-based techniques (long)
About four weeks ago I published a call for references about
viewer-centered representations, promising to circulate my results in
the Vision-List. I have collected 53 references, which I enclose
below in LaTex format. Some criteria adopted in selecting papers:
* I haven't listed ALL papers I found reporting a group's work if
I could detect a significant amount of overlap. Of course, I might
either have misjudged overlaps or missed some papers in some cases.
* I have collected references about two distinct areas: exact aspect graph
techniques and applications (e.g. planning visual strategies,
automatic sensor positioning for inspection) beacuse I am
currently interested in aspect-based inspection. I have added
a keyword or two to each reference to help the reader.
* The references were collected to produce a critical survey of the
literature. The survey is the first step of a project aimed at
developing an aspect-based inspection system (the main task being
sensor positioning).
I would welcome I-don't-believe-you-left-this-paper-out reactions,
particularly about papers describing applied work, and any comment
in general.
I would welcome a public debate in the List. To this effect I offer
my comments on the literature.
I notice that application-oriented papers nearly invariably
use approximate visibility spaces (geodesic domes, tesselations);
those who describe applications and claim to use exact aspect graphs
are vague about how to compute them or refer to very simple shapes
(e.g. convex polyhedra). Exact techniques become increasingly
complicate moving from the polyhedral domain to the curved-surface
world, making use of sophisticated mathematics (I know everything is
relative, but think of people developing applications out there).
There are very few implementations of exact techniques, as opposed
to many implemented approximate methods.
Problems often mentioned for exact techniques include efficient
indexing, representation size,
how to generalize algorithms to deal with complex objects,
how to incorporate information about sensing modules to be used in the
same system, how to incorporeate scale information.
Approximate techniques are easier and can cope with any class of objects,
but no-one mention exact criteria for deciding the resolution of the
tessellation adopted (number of views), which is the critical parameter.
Also, what can be done better with aspect graphs than with object
centered models? The main advantage seems to be a reduced effort
in extracting information from images, but this is counterbalanced
by the huge size of the representation (in general). Sensor placement
seems to be a natural application for aspect-based methods (how to
place a sensor in space to optimally inspect an object feature).
I feel there is a lot of development / application-oriented work to do here.
Enjoy the reference list and let me hear from you.
Manuel
Dr Emanuele Trucco Research Assistant
Department of Computer Science
Heriot-Watt University
79 Grassmarket Phone +44 31 225.6465 ext.549 (Vision Lab)
Edinburgh EH1 2HJ FAX +44 31 220.4277
SCOTLAND Email: mtc@cs.hw.ac.uk or mtc@aifh.ed.ac.uk
\begin{thebibliography}{99}
% exact
\bibitem{ponceIJCV} D.J. Kriegman and J. Ponce:
{\em Computing exact aspect graphs for curved objects: solids
of revolution}, International Journal of Computer Vision {\bf 5},
1990, pp. 119 --135.
% exact
\bibitem{ponceAAAI} D.J. Kriegman and J. Ponce:
{\em Computing exact aspect graphs for curved objects: parametric patches},
Proc. AAAI Conference, 1990, 1074 -- 1079.
% exact
\bibitem{ponce_rep} D.J. Kriegman and J. Ponce:
{\em Computing exact aspect graphs for curved objects: parametric patches},
Tech. Rep. UIUCDCS-R-90-1579, Unilversity of Illinois at Urbana-Champaign,
1990.
% survey
\bibitem{bowyerSurvey} K. Bowyer and C.R. Dyer:
{\em Aspect Graphs: an Introduction and Survey of Recent Results},
International Journal of Imaging Systems and Technology {\bf 2}, 1990,
pp.315 -- 328.
%
\ exactbibitem{eggert} D. Eggert and K. Bowyer:
{\em Perspective Projection Aspect Graphs of Solids of Revolution:
an Implementation},
Proceedings $7^{7}$ Scandinavian Conference on Image Analysis,
1991, pp. 299 --306.
% exact
\bibitem{stark} K. Bowyer, D. Eggert, J. Stewman and L. Stark:
{\em Developing the aspect graph representation for use in image understanding},
Proc. Image Understanding Workshop, 1989, pp. 831 -- 849.
% exact
\bibitem{sallam} M. Y. Sallam, J. Stewman and K. Bowyer:
{\em Computing the visual potential of articulated objects},
Proc. IEEE International Conference on Computer Vision, 1990,
pp. 636 -- 643.
% exact
\bibitem{stewman} J. Stewman and K. Bowyer:
{\em Creating the perspective projection aspect graph of polyhedral objects},
Proc. IEEE International Conference on Computer Vision, 1988, pp. 494 -- 500.
% exact
\bibitem{stewman_CVGIP} J. Stewman and K. Bowyer:
{\em Direct Construction of the Perspective Projection Aspect Graph
of Convex Polyhedra},
Computer Vision, Graphics and Image Processing {\bf 51}, 1990,
pp. 20 -- 37.
% exact
\bibitem{kevinrange} Kaiser, K. Bowyer and Goldgof:
{\em On exploring the definition of a range image aspect graph},
Proc. $7^{th}$ Scandinavian COnference on Image Abalysis,
1991, pp. 652 -- 656.
% exact
\bibitem{castore84} G.L. Castore:
{\em Solid Modeling, Aspect Graph and Computer Vision}
in {\em Solid Modeling by Computer}, M.S. Pickett and J.W. Boyse eds.,
Plenum Press, 1984, pp.277 -- 288.
% sensor placement
\bibitem{maver} J. Maver and R. Bajcsy:
{\em How to Decide from the First View where to Look Next},
Proceedings Image Understanding Workshop, 1990, pp.482 -- 496.
% sensor placement
\bibitem{sakane} S. Sakane, M. Ishii and M. Kakikura:
{\em Occlusion Avoidance of Visual Sensors Based on a Hand-Eye
Action Simulator System: HEAVEN},
Advanced Robotics {\bf 2}, pp. 149 -- 165, 1987.
% tessellations
\bibitem{korn} M.R. Korn and C.R. Dyer:
{\em 3-D Multiview Object Representations for Model-Based
Object Recognition},
Pattern Recognition {\bf 20}, pp. 91 -- 103, 1987.
% tessellations
\bibitem{fekete} G. Fekete and L.S. Davis:
{\em Property spheres: a new representation for 3-D object recognition},
Proc. IEEE Workshop on Computer Vsion, Representation and Control,
pp. 192 -- 201, 1984.
% tessellations
\bibitem{goad} C. A. Goad:
{\em Special purpose automatic programming for 3-D model-based vision},
Proc. DARPA Image Understanding Workshop, 1983, pp. 94 -- 104.
% sensor placement
\bibitem{cowan} C.K. Cowan and P.D. Kovesi:
{\em Automatic Sensor Placement for Vision Task Requirements},
IEEE PAMI {\bf 10}, 1988, pp. 407 -- 416.
% sensor placement
\bibitem{kim} H.-S. Kim, R.C. Jain and R.A. Volz:
{\em Object recognition using multiple views},
Proc. IEEE Conference on Robotics and Automation, 1985, pp. 28 --33.
% planning sensing strategies
\bibitem{hutchinson} S.A. Hutchinson and A.C. Kak:
{\em Planning Sensing Strategies in a Robot Work Cell with Multi-Sensor
Capabilities},
IEEE Transactions on Robotics and Automation {\bf 5}, 1989, pp. 765 --782.
% planning sensing strategies
\bibitem{hutchinson_CVPR} S. A. Hutchinson, R. L. Cromwell and A. C. Kak:
{\em Applying Uncertainty Reasoning to Model Based Object Recognition},
Proc. IEEE International Conference on Computer Vision and Pattern
Recognition, 1989.
% planning sensing strategies
\bibitem{hutchinson_RobAut} S. A. Hutchinson, R. L. Cromwell and A. C. Kak:
{\em Planning Sensing Strategies in a Robot Work Cell with Multi-Sensor
Capabilities},
Proc. IEEE International Conference on Robotics and Automation,
1988, pp. 1068 -- 1075.
% planning recognition strategies
\bibitem{ikeuchi} K. Ikeuchi:
{\em Generating an interpretation tree from a CAD model for 3-D object
recognition in bin-picking tasks},
International Journal of Computer Vision, 1987, pp. 145 -- 165.
% planning recognition strategies
\bibitem{ikeuchi_kanade} K. Ikeuchi and T. Kanade:
{\em Modeling Sensors: Toward Automatic Generation of Object Recognition
Program},
Computer Vision, Grpahic and Image Processing {\bf 48}, 1989, pp. 50 -- 79.
% planning recogntion strategies
\bibitem{hanson} C. Hanson and T. Henderson:
{\em CAGD-based computer vision},
Proc. Workshop on Computer Vision, 1987, pp. 100 --105.
% planning sensing strategies
\bibitem{hager} G. Hager and M. Mintz:
{\em Searching for Information},
Proc. AAAI Workshop on Spatial Reasoning and Multi-Sensor Fusion,
Morgan Kaufmann, 1987, pp. 313 -- 322.
% planning recogntion strategies
\bibitem{magee} M. Magee and M. Nathan:
{\em Spatial Reasoning, Sensor Repositioning, and Disambiguating in 3-D Model
Based Recognition},
Proc. AAAI Workshop on Spatial Reasoning and Multi-Sensor Fusion,
Morgan Kaufmann, 1987, pp. 262 -- 271.
% building octree model of scene
\bibitem{connolly} C.I. Connolly:
{\em The determination of the next best view},
Proc. IEEE Conference on Robotics and Automation, 1985, pp. 432 -- 435.
% exact
\bibitem{chakr_freem} I. Chakravarty and H. Freeman:
{\em Characteristic views as a basis for 3-D object recognition},
Proc. SPIE Conference on Robot Vision, vol. 336, 1982.
% exact
\bibitem{koenderink79} J.J. Koenderink and A.J. van Doorn:
{\em The internal representation of solid shape with respect to vision},
Biological Cybernetics {\it 32}, 1979, pp. 211 --216.
% exact
\bibitem{gigus_malik} Z. Gigus and J. Malik:
{\em Computing the aspect graph for line drawings of polyhedral objects},
IEEE PAMI {\bf 12}, 1990, pp. 113 -- 122.
% exact
\bibitem{gigus_etc} Z. Gigus, J. Canny and Seidel:
{\em Efficiently computing the aspect graph of polyhedral objects},
Proc. IEEE International Conference on Computer Vision, 1988, pp. 30 -- 39.
% recognition
\bibitem{hebert} M. Hebert and T. Kanade:
{\em The 3-D profile method for object recognition},
Proc. IEEE International Conference on Computer Vision and Pattern Recognition,
1985, pp. 458 -- 463.
% exact
\bibitem{plantinga} W. H. Plantinga and C. R. Dyer:
{\em Visibility, Occlusion, and the Aspect Graph},
International Journal of Computer Vision {\bf 5}, 1990, pp. 137 -- 160.
% exact
\bibitem{plantinga_asp} W. H. Plantinga and C. R. Dyer:
{\em The Asp: a Continuous Viewer-Centerd Representation for 3-D Object
Recognition},
Proc. International Conference on Computer Vision, 1987, pp. 626 -- 630.
% exact
\bibitem{watts} N. Watts:
{\em Calculating the principal views of a polyhedron},
Proc. IEEE International Conference on Pattern Recognition, 1988,
pp. 316 -- 322.
% weighted aspect graphs
\bibitem{ben-arie} J. Ben-Arie:
{\em Probabilistic Models of Observed Features and Aspects with
Applications to Weighted Aspect Graphs},
Pattern Recognition Letters {\bf 11}, 1990, pp.421 -- 427.
% exact
\bibitem{chen} S. Chen and H. Freeman:
{\em Computing characteristic views of quadric-surfaced solids},
International Conference on Pattern Recognition, 1990, pp. 77 -- 82.
% exact
\bibitem{chen_SPIE} S. Chen and H. Freeman:
{\em Characteristic Views and Perspective Aspect Graphs of Quadric-Surfaced
Objects},
Proc. SPIE Intern. Symposium on Advances in Intelligent Systems,Boston (MA),
1990.
% exact
\bibitem{chen_CADbased} S. Chen and H. Freeman:
{\em On the Characteristic Views of Quadric-Surfaced Solids},
Proc. IEEE Workshop on Advances in CAD-Based Vision,
Hawaii, 1991, pp. 34 -- 43.
% exact
\bibitem{rieger} J. H. Rieger:
{\em On the classification of views for piecewise smooth objects},
Image and Vision Computing {\bf 5}, 1987, pp. 91 -- 97.
% exact
\bibitem{rieger_AI} J. H. Rieger:
{\em The Geometry of Views of Piecewise Smooth Objects},
Artificial Intelligence {\bf 44}, 1990.
% exact
\bibitem{callahan} J. Callahan and R. Weiss:
{\em A Model for Describing Surface Shape},
Proc. IEEE Conference on Computer Vision and Pattern Recognition,
1985, pp. 240 -- 245.
% discussion report
\bibitem{ag_disc}: K. Bowyer (ed.):
{\em Why Aspect Graphs Are Not (Yet) Practical for Computer Vision},
Panel Discussion, Proc. IEEE Workshop on Advances in CAD-Based Vision,
Hawaii, 1991.
% approximate visibility spaces
\bibitem{silberberg} T. M. Silberberg, L. Davis and D. Harwood:
{\em An Iterative Hough Procedure for Three-Dimensional Object
Recognition},
Pattern Recognition {\bf 17}, 1984, pp. 621 -- 629.
% recognition
\bibitem{dickinson} S. Dickinson, A. Pentland and A. Rosenfeld:
{\em From Volumes to Views: An Approach to 3-D Object Recognition},
Proc. IEEE Workshop on Advances in CAD-Based Vision,
Hawaii, 1991, pp. 85 -- 96.
% recognition
\bibitem{dickinsonICCV} S. Dickinson, A. Pentland and A. Rosenfeld:
{\em Qualitative 3-D Shape Reconstruction using Distributed Aspect
Graph Matching},
Proc. IEEE International Conference on Computer Vision, 1990, pp. 257 --262.
% "salient views" conjecture
\bibitem{rosenfeld} A. Rosenfeld:
{\em Recognizing unexpected objects: a proposed approach},
Proc. Image Understanding Workshop, 1987, pp. 620 -- 627.
% planning visual strategies
\bibitem{arman} F. Arman and J. K. Aggarwal:
{\em Automatic Generation of Recognition Strategies Using CAD Models},
Proc. IEEE Workshop on Advances in CAD-Based Vision,
Hawaii, 1991, pp. 124 -- 133.
% exact
\bibitem{bolle} R. Bolle, A. Califano, R. Kjeldsen and R. Mohan:
{\em Active 3-D Object Models},
Proc. $3^{rd}$ IEEE International Conference on Computer Vision,
1990, pp. 329 -- 333.
% exact
\bibitem{seales_rim} W. B. Seales and C. R. Dyer:
{\em Modeling the rim appearance},
Proc. IEEE International Conference on Computer Vision, 1990,
pp. 698 -- 701.
% exact
\bibitem{seales} W. B. Seales and C. R. Dyer:
{\em Constrained Viewpoint from Occluding Contour},
Proc. IEEE Workshop on Advances in CAD-Based Vision,
Hawaii, 1991, pp. 54 -- 63.
% exact
\bibitem{burns} J. B. Burns and L. J. Kitchen:
{\em Recognition is 2-D images of 3-D objects from large model bases
using prediction hierarchies},
Proc. International Jint Conference on Artificial Intelligence, 1987,
pp. 763 -- 770.
% exact
\bibitem{christensen} D. Eggert, K. Bowyer, C. Dyer, H. Christensen
and D. Goldgof:
{\em The scale space aspect graph},
Technical Report LIA 91 - 19, Institute of Electronic
Systems, University of Aalborg, Nov 1991.
\end{thebibliography}
------------------------------
Date: Fri, 28 Feb 92 19:05:30 +0100
From: Peter Sander <Peter.Sander@sophia.inria.fr>
Subject: computer vision / robotics doctoral program (long)
University of Nice - Sophia Antipolis
with the participation of INRIA and the Ecole des Mines de Paris
DEA Doctoral Program
THEORY and APPLICATIONS
of ROBOTICS and COMPUTER VISION
Organizers: Peter Sander (UNSA)
Jean-Daniel Boissonnat, Olivier Faugeras (INRIA)
This program of first-year doctoral level studies in robotics and computer
vision is intended for mathematicians with an interest in computer science and
for computer scientists with a taste for mathematics. The DEA (Diplo^me
d'Etudes Avance'es: equivalent to the Ph.D. qualifying year) is intended to
equip students with knowledge in {\em both} robotics and vision, and to
provide entry into research and industry in France and in Europe. Background
courses introduce the two subjects and bring the students up to a practical
level in computer science. Modular courses then allow for specialization; the
students choose four courses, at least two of which are from the basis courses
and the remainder may include optional specialization courses. These 120
hours of lectures are complemented by more personal studies: articles, problem
sets, seminars, projects, etc. A long-term project of at least five months
duration in a research of industrial laboratory in France or abroad rounds out
the program. It is intended that each year one module be taught by a visiting
expert, and to prepare students for the world of international research this
course will be in English. The DEA is designed to lead into a doctoral
thesis, and MRT and INRIA scholarships are possible.
Background courses (first month)
computer science basics (C, C++, Unix, Maple, etc.)
introduction to image processing
introduction to robotics
Basis courses (30 hours each)
early vision
3-D vision
scene analysis and objet identification
modeling and control of robots
perception and supervision of task execution
path planning
Specialization courses (30 hours each)
four to be offered each year from among:
CAD and image synthesis
geometry and computer algebra
algorithmic geometry
software architectures
parallel architectures
shape representation
invited course
Available equipment
Numerous 16M SUN4/60 colour workstations with hard disk, mono and trinocular
stereo image acquisition systems, robot systems.
Location: Sophia Antipolis
In a remarkable setting, with sea, sun, and mountains - twenty minutes from
Nice, 75 minutes by air from Paris - Sophia Antipolis is in the heart of
southern Europe yet well-connected to the north. Over the last 15 years the
technology park has earned a prestigious international reputation.
Registration information
Peter Sander, DEA Robotique et Vision Artificielle, ESSI CERISI Sophia
Antipolis, BP 132 - 06561 Valbonne Cedex, or by electronic mail:
sander@essi.cerisi.fr . Deadline for application is 3 July 1992; candidates
will be advised two weeks later.
Peter Sander ESSI Universite' de Nice Tel: +33 93.95.44.20
i3s CNRS 92.94.26.45
INRIA Sophia-Antipolis 93.65.76.48
------------------------------
Date: Thu, 20 Feb 1992 22:55:34 GMT
From: dorota@marsh.cs.curtin.edu.au (Dorota Kieronska)
Organization: Curtin University of Technology
Subject: Advance Program: AIS'92
ADVANCE PROGRAM
The Third Annual Conference on
AI, Simulation and Planning in High Autonomy Systems
THEME: Integrating Perception, Planning and Action
8-10, July, 1992
Kings Ambassador Hotel, Perth, Western Australia
Sponsored by: Curtin University, Western Australia
Conference Co-chairs:
Dorota Kieronska Svetha Venkatesh
School of Computing Science School of Computing Science
Curtin University of Technology Curtin University of Technology
Western Australia Western Australia
dorota@cutmcvax.cs.curtin.edu.au svetha@cutmcvax.cs.curtin.edu.au
Organizing Committee:
Paul A. Fishwick University of Florida, USA
Franz Pichler University of Linz, Austria
Jerzy W. Rozenblit University of Arizona, USA
Suleyman Sevinc University of Sydney, Australia
Robin Stanton Australian National University, Australia
Programme Committee:
Narendra Ahuja University of Illinois, USA
Panos Antsaklis Notre Dame University, USA
E. Balagurusamy Institute of Public Enterprise, India
Felix Bretschneider Siemens, Germany
Terri Caelli University of Melbourne, Australia
F. Y. L. Chin University of Hong Kong, Hong Kong
Silvano Colombano NASA Ames Research Centre, USA
John Debenham University of Technology Sydney, Australia
Vu Duong Schlumberger Laboratory, France
Norman Foo University of Sydney, Australia
Michael Georgeff Australian AI Institute, Australia
Roderick Girle Griffith University, Australia
Witold Jacak University of Linz, Austria
Tag Gon Kim University of Kansas, USA
C.T. Leondes University of Washington, USA
Olivier Monga INRIA, France
Ram Nevatia University of Southern California, USA
Herbert Praehofer University of Linz, Austria
Ethan Scarl Boeing Computer Services, USA
Reid Simmons Carnegie Mellon University, USA
Chuck Thorpe Carnegie Mellon University, USA
C.P. Tsang University of Western Australia, Australia
Haruki Ueno Tokyo Electrical Institute, Japan
Local arrangements:
Mary Simpson
Ken Swain
Lance C. C. Fung
Wladyslaw Mielczarski
CONFERENCE DESCRIPTION
The design and development of autonomous systems requires expertise from a
multitude of areas. The theme of this conference is the integration of
perception, planning and action using a task-directed approach. Years of
research in fields of vision and perception, planning, knowledge
representation, modelling, reasoning, control, simulation and many others,
have culminated in the development of models that are useful in limited and
separate domains. However, integration of these modules in automated
intelligent systems has proved too computationally expensive. In all these
fields there is a shift towards situated reasoning and task directed problem
solving. Action requires intelligent decision making, and the choice of
action is based on results of close interaction between task directed sensory
perception and situated reasoning. The underlying issue is the
representation and modelling of the relevant aspects of the environment, and
problems encountered here are closely related to those in intelligent
simulation. Techniques in computer simulation can provide useful models that
serve as the foundation for simulating the behaviour of autonomous agents,
and such simulation can provide meaningful insight into the agent's
behaviour. This conference seeks to provide an opportunity for researchers
from a range of disciplines and application domain projects to interact and
address these issues.
CONFERENCE AT A GLANCE
Wednesday, July 8
9:00 - 10:00 Keynote 1: R.A. Brooks, MIT, USA
10:30 - 12:30 T1: Neural Networks: Control and Learning
T2: Robotics: Flexible Manufacturing
2:00 - 3:00 Panel 1: Can we talk? Integrating modeling terminology.
3:30 - 5:30 T1: Integrated Intelligent Systems
T2: Simulation and Modeling I
Thursday, July 9
9:00 - 10:00 Keynote 2: K.P. Wong, UWA, Australia
10:30 - 12:30 T1: Planning: Active Perception
T2: Simulation and Modeling II
Afternoon: Technical visit
Conference Dinner
Friday, July 10
9:00 - 10:00 Keynote 3: B.P. Zeigler, University of Arizona, USA
10:30 - 12:30 T1: Planning: Reasoning
T2: Vision for Autonomous Systems
2:00 - 3:00 Panel 2: Intelligent Manufacturing Systems: Design, Planning,
and Control
3:30 - 5:30 T1: Robotics: Mobile Systems
T2: Theoretical Aspects of Reasoning
TECHNICAL PROGRAM
WEDNESDAY
8:30 OPENING
9:00 - 10:00 R.A. Brooks, MIT, USA
10:00 - 10:30 BREAK
10:30 - 12:30 Track 1: Neural Networks: Control and Learning
"A Hybrid Reinforcement Learning System for Identification and Control"
P.M. Mills, CRA, Adv. Tech. Dev., Australia
M.O. Tade, Curtin University, Australia
A.Y. Zomaya, University of Western Australia
"Use of Back Propagation Network for Modeling an Electrostatic
Precipitator"
T. Lakshminarayana, Bharat Heavy Electricals Corp, India
H.S.N. Murty, JNT University, India
"VGA: A Self Tutoring Algorithm for Concept Learning in Highly
Autonomous Systems"
R.G. Reynolds, E. Zannoni, Wayne State University, USA
"Incremental Rule-Based Control and Learning"
D. Luzeaux, Berkeley University, USA
Track 2: Robotics: Flexible Manufacturing
"A development Toolkit To Support The Architecture of Flexible
Manufacturing Systems Based on Intelligent Autonomous Units"
A. Sedlmeier, S. Bocionek, H-G. Weil, Siemens, Germany
"Towards Design and Control of High Autonomy Manufacturing Systems"
J.W. Rozenblit, University of Arizona, USA,
W. Jacak, Johannes Kepler University, Austria
"An Integrated Method for Planning Smooth Collision-free Trajectories
for Robot Arms"
Jianwei Zhang, University of Karlsruhe, Germany
"Surface Following and Modelling for Planar n-Link Manipulator Arms
Equipped with Proximity Sensors"
C.J. Pudney, University of Western Australia, Australia
12:30 - 2:00 LUNCH
2:00 - 3:00 Panel 1: Can We Talk? Integrating Modeling Technology
Chair: P. Fishwick
3:00 - 3:30 BREAK
3:30 - 5:30 Track 1: Integrated and Intelligent Systems
"Relevance-derived Metafunction: An Interface Between Intelligent
System's Subcomponents"
B. Gorayska, R. Lindsay, K. Cox, J. Marsh, N. Tse, City
Politechnic of Hong Kong, Hong Kong
"Achieving Autonomy Through Design"
J.W. Rozenblit, University of Arizona, USA
"Implementing Planning as Tactical Reasoning"
L. Spalazzi, University of Ancona, Italy
"Simulating Teaching by Reasoning about Instructional Objectives"
K-K. Yum, T. Richards, La Trobe University, Australia
Track 2: Simulation and Modelling I
"Discrete-Event Simulation with POSS"
T. Van Le, University of Canberra, Australia
"A Functional/Declarative Dichotomy for Characterizing Simulation
Models"
P.A. Fishwick, University of Florida, USA
"Intelligent Simulation for Manufacturing Systems"
N.K. Baid, N.N. Nagarur, Asian Institute of Technology, Thailand
"Applying a Graphical Locomotion Model to a Behavioural Animation
System"
A. Marriot, T. Widyanto, Curtin University, Australia
THURSDAY
9:00 - 10:00 K.P. Wong, UWA, Australia
10:00 - 10:30 BREAK
10:30 - 12:30 Track 1: Planning: Active Perception
"Inexact Spatial Reasoning"
D.C. Altman, Curtin University, Australia
"Flexible Task-specific Control Using Active Vision"
R.J. Firby, M.J. Swain, University of Chicago, USA
"Evolution versus Design: Controlling Autonomous Robots"
P. Husbands, I. Harvey, University of Sussex, England
"Spatial Reasoning via Active Observation"
S. Venkatesh, D.H. Kieronska, Curtin University, Australia
Track 2: Simulation and Modelling II
"Abstracting and Explaining Simulation Model Behaviour"
L. Travers, S. Sevinc, University of Sydney, Australia
"The Application of Pattern Recognition for Distance Relaying"
S.K. Chakravarthy, Curtin University, Australia
"Qualitative Interpretation Theory"
M. Johnston, University of Western Sydney,
L-Y, Shue, University of Wollongong, Australia
"Determining Linguistic Models with Constrained Fuzzy Regression"
J. Barone, Loki Software, USA
FRIDAY
9:00 - 10:00 B.P. Zeigler, University of Arizona, USA
10:00 - 10:30 BREAK
10:30 - 12:30 Track 1: Planning: Reasoning
"Representing the Plan Monitoring Needs and Resources of Robotic
Systems"
M. Schoppers, Advanced Decision Systems, USA
"Multi-Agent Planning and Execution Monitoring: Application to Motorway
Traffic"
P. Mourou, B. Fade, IRIT, France
"A Qualitative Approach to the Integration of Vision and Reactive and
Planning"
A.J.Travers, T.C. Ly, E.Bastholm, Curtin University, Australia
"Reactive Planning with Uncertainty of a Plan"
S. Yamada, Osaka University, Japan
Track 2: Vision for Autonomous Systems
"Supervision of Perception Tasks for Autonomous Systems: the OCAPI
Approach"
V. Clement, M. Thonnat, INRIA, France
"Issues, Architecture and Techniques in Real-Time Vision"
J. Cooper, Melbourne University, Australia
"Using Partial Derivatives of 3D Images to Extract Typical Surface
Features"
Olivier Monga, Serge Benayoun, INRIA, France
"Optimizing Evidenced-Based Object Recognition Systems"
T. Caelli, Melbourne University, Australia
2:00 - 3:00 Panel: Intelligent Manufacturing Systems: Design, Planning,
and Control
Chair: J.W. Rozenblit
3:00 - 3:30 BREAK
3:30 - 5:30 Track 1: Robotics: Mobile Systems
"FAW Project AMOS: Integrating Sub-Symbolic and Symbolic Information
Processing in Robot Control"
F.J. Radermacher, FAW Ulm, Germany
"Reactive Mobile Robots Based on a Visual Servoing Approach"
P. Rives, INRIA, R. Pissard-Gibollet, ISIA, France
"A Modular Agent/Deliverable Modality for Mobile Robot Development"
R.W. Albrecht, University of Washington, USA
"An Architecture for Adaptive Navigation Control"
Mark Nelson, DSTO, Australia
"Characterization of Environment Conditions with Metric Temporal Feature
Logic"
S. Nadjm-Tehrani, P. Osterling, Linkoping University, Sweden
Track 2: Theoretical Aspects of Reasoning
"Expectation-based Temporal Prediction System"
M. Rillo, Universitaet Karlsruhe, Germany
"Inclusive Resolution for Horn Sets"
Li Dafa, Tsinghua University, China
"Eliza and The Automata"
R.A. Girle, Griffith University, Australia
______________________________________________________________________
The Third Annual Conference on
AI, Simulation and Planning in High Autonomy Systems
8-10, July, 1992
Kings Ambassador Hotel, Perth, Western Australia
CONFERENCE REGISTRATION
Name..................................................................
Address...............................................................
......................................................................
City......................... State..... (Zip)Code...............
PHONE........................ FAX..........................
EMAIL...................................
Please send me a printed copy of the FINAL PROGRAM: Yes [ ]
Professional Fee
Before March 2nd: AU$325, After March 2nd: AU$375 Amount________
(includes proceedings and conference dinner)
Student Fee
Before March 2nd: AU$150 Amount________
(includes proceedings)
Additional Fees (if applicable)
conference dinner AU$30 Amount________
Extra Copy of Proceedings: AU$50 Amount________
GENERAL:
The Proceedings are published, sold and advertised by the IEEE Computer
Society Press. There are no refunds for cancellations after June 15th.
All travel information is contained within the printed FINAL PROGRAM -
please ask for one by checking above.
Mail or Contact: Mrs. Mary Simpson
Dept. of Computer Science
Curtin University
PO Box U1987
Perth, WA 6001
Australia
Phone: +61-9-351-7298 FAX: +61-9-351-2819
HOTEL REGISTRATION
July 8-10, 1992 AI, Simulation and Planning Conference (AIS'92)
Kings Ambassador Hotel, Perth, Western Australia
PHONE: +61-9-325-6555 FAX: +61-9-221-1539 Telex: AA92616
Within Australia: toll free number 008-998-011
Name..................................................
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Arrival Date............... Departure Date ...........
Room Rate: Au$75/night - single
Au$85/night - double
(breakfast included)
Reservations must be guaranteed by a major credit card or advance
deposit on one night's room rental.
CREDIT CARD (Circle One):
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Mail to:
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Function Manager
King's Ambassador Hotel
517, Hay Street
Perth, WA 6001
Australia
RESERVATIONS MUST BE CONFIRMED BEFORE June 30, 1992.
------------------------------
Date: Tue, 25 Feb 1992 19:21:19 GMT
From: berenji@ptolemy.arc.nasa.gov (Hamid Berenji)
Organization: NASA/ARC Information Sciences Division
Subject: FUZZ-IEEE'93 Call for papers
CALL FOR PAPERS
SECOND IEEE INTERNATIONAL
CONFERENCE ON FUZZY SYSTEMS
FUZZ-IEEE'93
San Francisco, California
March 28 - April 1, 1993
In recent years, increasing attention has been devoted to fuzzy-logic
approaches and to their application to the solution of real-world
problems.
The Second IEEE International Conference on Fuzzy Systems (FUZZ-IEEE
'93) will be dedicated to the discussion of advances in:
* Basic Principles and Foundations of Fuzzy Logic
* Relations between Fuzzy Logic and other Approximate
Reasoning Methods
* Qualitative and Approximate-Reasoning Modeling
* Hardware Implementations of Fuzzy-Logic Algorithms
* Learning and Acquisition of Approximate Models
* Relations between Fuzzy Logic and Neural Networks
* Applications to
* System Control
* Intelligent Information Systems
* Case-Based Reasoning
* Decision Analysis
* Signal Processing
* Image Understanding
* Pattern Recognition
* Robotics and Automation
* Intelligent Vehicle and Highway Systems
CONFERENCE ORGANIZATION
This conference is sponsored by the IEEE Neural Networks Council, in
cooperation with:
International Fuzzy Systems Association
North American Fuzzy Information Processing Society
Japan Society for Fuzzy Theory and Systems.
The conference includes tutorials, exhibits, plenary sessions, and
social events.
ORGANIZING COMMITTEE
GENERAL CHAIR: Enrique H.Ruspini
Artificial Intelligence Center
SRI International
PROGRAM CHAIR: Piero P. Bonissone
General Electric CR&D
PROGRAM ADVISORY BOARD:
J. Bezdek E. Sanchez E. Trillas
D. Dubois Ph. Smets T. Yamakawa
G. Klir M. Sugeno L.A. Zadeh
H. Prade T. Terano
FINANCE:
R. Tong (Chair)
R. Nutter
PUBLICITY:
H. Berenji (Chair)
B. D'Ambrosio
R. Lopez de Mantaras
T. Takagi
LOCAL ARRANGEMENTS:
S. Ovchinnikov
TUTORIALS:
J. Bezdek (Chair)
H. Berenji
H. Watanabe
EXHIBITS:
M. Togai
L. Valverde
W. Xu
T. Yamakawa
TUTORIAL INFORMATION
The following tutorials have been scheduled:
Introduction to Fuzzy-Set Theory, Uncertainty, and Fuzzy Logic
Prof. George J. Klir, SUNY
Fuzzy Logic in Databases and Information Retrieval
Prof. Maria Zemankova, NSF
Fuzzy Logic and Neural Networks for Pattern Recognition
Prof. James C. Bezdek, Univ. of West Florida
Hardware Approaches to Fuzzy-Logic Applications
Prof. Hiroyuki Watanabe, Univ. North Carolina
Fuzzy Logic and Neural Networks for Control Systems
Dr. Hamid R. Berenji, NASA Ames Research Center
Fuzzy Logic and Neural Networks for Computer Vision
Prof. James Keller, Univ. of Missouri
EXHIBIT INFORMATION
Exhibitors are encouraged to present the latest innovations in fuzzy
hardware, software, and systems based on applications of fuzzy logic.
For additional information, please contact Meeting Management at Tel.
(619) 453-6222, FAX (619) 535-3880.
CALL FOR PAPERS
In addition to the papers related to any of the above areas, the
program committee cordially invites interested authors to submit
papers dealing with any aspects of research and applications related
to the use of fuzzy models. Papers will be carefully reviewed and only
accepted papers will appear in the FUZZ-IEEE '93 Proceedings.
DEADLINE FOR PAPERS: AUGUST 3, 1992
Papers must be received by August 3, 1992. Six copies of the paper
must be submitted. The paper must be written in English and its
length should not exceed 8 pages including figures, tables, and
references. Papers must be submitted on 8-1/2" x 11" white paper with
1" margins on all four sides. They should be prepared by typewriter
or letter-quality printer in one column format, single-spaced, in
Times or similar type style, 10 points or larger, and printed on one
side of the paper only. Please include title, author(s) name(s) and
affiliation(s) on top of first page followed by an abstract. FAX
submissions are not acceptable. Please send submissions prior to the
deadline to:
Dr. Piero P. Bonissone
General Electric Corporate Research and Development
Building K-1, Room 5C32A
1 River Road
Schenectady, New York 12301
FOR ADDITIONAL INFORMATION REGARDING FUZZ-IEEE'93 PLEASE
CONTACT:
Meeting Management
5665 Oberlin Drive Suite 110
San Diego CA 92121
Tel. (619) 453-6222
FAX (619) 535-3880
------------------------------
End of VISION-LIST digest 11.9
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