Date: 02 Mar 92 12:34:28-PST
From: Vision-List moderator Phil Kahn <Vision-List-Request@ADS.COM>
Errors-to: Vision-List-Errors@ADS.COM
Reply-to: Vision-List@ADS.COM
Subject: VISION-LIST digest 11.9
To: Vision-List@ADS.COM

VISION-LIST Digest    Mon Mar 02 12:34:28 PDT 92     Volume 11 : Issue 9

 - Send submissions to Vision-List@ADS.COM
 - Vision List Digest available via COMP.AI.VISION newsgroup
 - If you don't have access to COMP.AI.VISION, request list 
   membership to Vision-List-Request@ADS.COM
 - Access Vision List Archives via anonymous ftp to FTP.ADS.COM

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..................................................
Address...............................................
......................................................
City....................... State..... (Zip)Code......
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): 
  MasterCard/EuroCard [ ]             VISA [ ]                AMEX [ ]

Credit Card Number___________________________________ Exp. Date________
Signature____________________________________________
Mail to: 
        Ms. Patsy Chua
	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
************************
