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VISION-LIST Digest 1990 07 11
Vision-List Digest Wed Jul 11 09:51:04 PDT 90
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Today's Topics:
Help ! Rotated molecules & rotating physics student
canonical vision book list
Summary of Responses Received to generate Needle Diagrams
Camera Mount
Ideas Needed for Manned Exploration of Moon and Mars
Character Recognition Bibliography?
OCR Refs/Software?
Job vacancies
----------------------------------------------------------------------
Date: 10 Jul 90 10:34:49 GMT
From: uh311ae@LRZSUN4_7.lrz.de (Henrik Klagges)
Subject: Help ! Rotated molecules & rotating physics student
Keywords: Correllation filters, rotated pattern recognition, GA
Organization: LRZ, Bavarian Academy of Sciences, W. Germany
Hi, netwise,
I need help !
The problem:
A Scanneling Tunnel Microscope (STM) produces a picture of a flat surface
covered with macromolecules, forming a loose grid or just being scattered
around. For simplicity, it is assumed that there exist only 3 free para-
meters, namely two translatoric and one rotational for the molecules.
A single molecule gives a noisy image, so it is desired to combine many
individual molecule-images into a single one. To accomplish this task
several ways might be possible:
1) Have a clever program walking over the image and saying 'Wow ! That's a
molecule turned foo degrees and translated bar units, let's add it to our
data base !' (Ugh).
2) Run a fantastic correllation filter (fcf:) over the image that is able
to recognize the correllation between any (!) rotated and x,y-displaced
structures and amplify those structures (Does this exist yet ? Does one
exist that matches all affine transformations ?).
3) If that is too much, select a "good" molecule, calculate its turned image
for each degree, move over the whole image and try to match these 360
turns with the image and mark this place as occupied (Calculate 'n crunch
for ever ?).
4) Make a FF- or Hartley- or another integral transform of the image. That means
no spatial parameters anymore, and then turn and match the transformed image
on itself, correllate, amplify, re-transform (Who knows if that works !).
Questions:
1) Who knows about a fcf ?
2) Which methods are suited for the task of matching two images that are
rotated and/or linearly displaced against each other ? (I heard about
a genetic algorithm from Fitzgerald, Grevenstette et al.).
3) How do You walk over a surface and recognize noisy molecules ?
4) ANY hint or comment desperately welcome !
Thanks a lot
Henrik Klagges
STM group at LMU Munich
EMail: uh311ae@LRZSUN4_7.lrz.de
SMail: Stettener Str. 50, 8210 Prien, FRG
------------------------------
Date: Tue, 10 Jul 90 12:39:23 +0200
From: ronse@prlb.philips.be
Subject: canonical vision book list
I received many references of books on vision, but of only one on image
analysis (Serra's first volume). So here is my "canonical" list of
fundamental vision books. Please send me also the references for your
preferred books on image processing and analysis.
D.H. Ballard & C.M. Brown: "Computer Vision", Prentice-Hall, 1982.
B.K.P. Horn: "Robot Vision", MIT Press, Cambridge, Mass., USA, 1986.
T. Kanade : "Three Dimensional Machine Vision", Kluwer Ac. Press.
J.J. Koenderink: "Solid Shape", MIT Press, Cambridge, Mass., USA., 1990.
M.D. Levine: "Vision in Man and Machine", McGraw-Hill, New York, USA,
1985.
D. Marr: "Vision", W.H. Freeman & Co., San Francisco, CA, 1982.
P.H. Winston (ed.): "The Psychology of Computer Vision", McGraw-Hill,
1975.
The books by Ballard & Brown and by Horn are "winners". Several people
suggested them.
Christian Ronse
Internet: ronse@prlb.philips.be
BITNET: ronse%prlb.philips.be@cernvax
------------------------------
Date: Fri, 6 Jul 90 17:09:41 EDT
From: ramamoor@cmx.npac.syr.edu (Ganesh Ramamoorthy)
Subject: Summary of Responses Received to generate Needle Diagrams
>From: jonh@tele.unit.no
Subject: Needle Diagrams
If you use matlab, ver. 3.5 you can use the command "quiver"
to generate nice needle diagrams. Unfortunately, ver 3.5 of matlab
may still not be available on SUN. However it is available for
VAX. I have taken the m-file "quiver.m" from Matlab ver. 3.5
running on VAX and used it with old matlab versions on SUN.
This works fine. If you would like to try this out and have
problems getting hold of "quiver.m", let me know and I will
mail you a copy.
>From: Keith Langley <kl@robots.oxford.ac.uk>
Subject: needles
I did it the easy way by looking at FIG format for lines
and piping out a needle diagram that way.
>From: hmueller@wfsc4.tamu.edu (Hal Mueller)
Subject: Needle Diagrams
The graphics package called DISSPLA, sold by Computer Associates (formerly
sold by ISSCO), has an extra cost option for an automatic code generator.
One of the things this code generator produces is needle plots. DISSPLA
runs on a Sun 3, and I would presume also on a Sun 4.
Reach them at (800) 645-3003. The package is expensive, fairly difficult
to learn, is extremely powerful, and is as close to bug free as any
commercial product I've ever seen.
>From: oskard@vidi.cs.umass.edu
Subject: re: Programs for generating Needle Diagrams
Hi. I don't know if you've found any programs for displaying
flow fields yet, but we use KBVision here and it has a system called
the image examiner that displays flow fields among other things.
Anyway, their address is:
Amerinex Artificial Intelligence Inc.
274 N. Pleasant St.
Amherst, MA 01002
413-256-8941
>From: johnston@george.lbl.gov (Bill Johnston)
Subject: flow field diagramw
The NCAR (National Center for Atmospheric Research, Boulder CO)
graphics library has several routines for displaying flow
fields. It sits on top of GKS, so any GKS package that supports
a Sun should allow you to use the NCAR package.
------------------------------
Date: Sun, 8 Jul 90 12:38:29 -0400 (EDT)
From: "Ethan Z. Evans" <ee0i+@andrew.cmu.edu>
Subject: Camera Mount
Vision Wizards:
I need to find a 2 degree of freedom camera mount (rotation and pitch).
The mobile platform I work on is only about a foot tall, and the top is
cluttered with various hardware etc. Thus to give the robot a view of
its world, we need to set the camera up on a pole. Once its up their it
needs to be able to turn around and either look down at what the arm is
doing, or out at where the base is going. Point is, I don't have the
slightest idea where to look for such a device. If anyone could give me
a starting point as to where to get such a mount, especially one easily
controlled through a PC parallel or serial port, I would be most
greatful.
Thanks in advance,
Ethan Evans
ee0i@andrew.cmu.edu
Disclaimer: I'm the lab rat, how could *I* have an opinion?
[ Please post responses to the List
phil... ]
------------------------------
Date: 9 Jul 90 07:15:53 GMT
From: guyton%randvax.UUCP@usc.edu (Jim Guyton)
Subject: Ideas Needed for Manned Exploration of Moon and Mars
Keywords: PROJECT OUTREACH
Organization: Rand Corp., Santa Monica, Ca.
PROJECT OUTREACH
Ideas Needed for Manned Exploration of Moon and Mars.
NASA is seeking innovative approaches to mission concepts and
architectures, as well as technologies that could cut costs and
improve mission schedule and performance.
The RAND Corporation will provide an independent assessment
of all suggestions.
The procedure for submitting ideas is simple. For an information
kit call 1-800-677-7796. Call now. The deadline for submissions
is August 15, 1990.
------------------------------
Date: Mon, 9 Jul 90 19:56:22 EDT
From: atul k chhabra <Atul.Chhabra@UC.EDU>
Subject: Character Recognition Bibliography?
I am looking for a character recognition bibliography. I am interested in all
aspects of character recognition, i.e., preprocessing and segmentation,
OCR, typewritten character recognition, handwritten character recognition,
neural network based recognition, statistical and syntactic recognition,
hardware implementations, and commercial character recognition systems.
If someone out there has such a bibliography, or something that fits a part
of the above description, I would appreciate receiving a copy. Even if you
know of only a few references, please email me the references.
Please email the references or bibliography to me. I will summarize on the
vision-list. Thanks,
Atul Chhabra
Department of Electrical & Computer Engineering
University of Cincinnati, ML 030
Cincinnati, OH 45221-0030
Phone: (513)556-6297
Email: achhabra@uceng.uc.edu
------------------------------
Date: Wed, 11 Jul 90 14:57:00 +0200
From: nagler@olsen.ads.com (Robert Nagler)
Subject: OCR Refs/Software?
Organization: Olsen & Associates, Zurich, Switzerland
Keywords: OCR, Pattern Recognition
Status: R
Could someone send me a good reference(s) on OCR/Pattern Recognition?
Pointers to PD software (source) would be nice, too. Thanks.
Rob nagler@olsen.uu.ch
------------------------------
Date: Wed, 4 Jul 90 11:29:00 WET DST
Subject: job vacancy
From: J.Illingworth@ee.surrey.ac.uk
UNIVERSITY OF SURREY: Dept of Electronics and Electrical Engineering.
*********************************************************************
RESEARCH FELLOW IN COMPUTER VISION AND IMAGE PROCESSING
*********************************************************************
Research Fellows are required for projects in Computer Vision.
The projects are concerned with the following problems:
* robust 2D and 3D shape representation and analysis;
* high-level scene interpretation;
* automatic inspection of loaded printed circuit boards;
* relaxation labelling and neural net computation in vision
by associative reasoning.
The projects will be carried out within an active Vision, Speech and
Signal Processing research group which comprises about 35 members.
The group has extensive computing resources including SUN Sparc stations,
VAX and Masscomp computers as well as specialised image processing
facilities.
The successful candidates will be required to develop, implement in
software and experimentally evaluate computer vision algorithms.
Applicants for these posts should have a degree in mathematics,
statistics, electronics, computer science, artificial intelligence or
physics. Previous experience in computer vision, image analysis,
knowledge based methods or pattern recognition will be an advantage.
One of the posts may be reserved for an applicant able to provide
hardware and software support for the Group across projects.
The appointments will be initially for two years with a salary in the range
10458 -16665 pa (under review) depending upon age, qualifications and
experience, with superannuation under USS conditions. Applications in the
form of a curriculum vitae ( 3 copies) including the names and addresses
of two referees should be sent to the Personnel Office (JLG), University
of Surrey, Guildford, Surrey GU2 5XH by 30 June 1990 quoting reference
Further information may be obtained from Dr J Kittler, Department of
Electronic and Electrical Engineering on (0483) 509294 or from
Dr J Illingworth on (0483) 571281 ext. 2299.
PROJECT DESCRIPTION
DETECTION OF LINEAR FEATURE IN IMAGE DATA
The aim of the project is to investigate and develop the Hough
transform and associated pre-processing and postprocessing techniques with
the application to the problem of detecting linear image features in noisy
and cluttered background of changing polarity. The emphasis of the approach
will be on statistical hypothesis testing and robust estimation methods.
An important component of the research will be to develop the theory and
methodology for the design of post processing filters to enhance the Hough
transform performance. The problem of detecting higher level features such as
corners and parallels using the same framework will also be considered.
LOCATION AND INSPECTION WITH RANGE DATA
The project is concerned with the problem of segmenting depth image data into
parametric surfaces. Robust hypothesis testing methods of which the Hough
transform is just one example will be investigated in this context.
The research issues to be addressed include the problems of surface
parameterisation, efficient transform calculation and reliable transform
space analysis. Other approaches to range data segmentation
such as energy minimisation methods and knowledge based methods will be
investigated.
AUTOMATIC INSPECTION OF LOADED PRINTED CIRCUIT BOARDS
The aim of the project is to investigate and develop machine vision
techniques for advanced automated inspection of loaded printed circuit
boards (PCBs) and of surface mounted ceramic substrates with the view to
enable real time fault correction to increase production yields,
maintain and optimise product quality and to maximize manufacturing process
control capabilities. A particular emphasis will be on two aspects of the
inspection task: i) the use of 3D sensor data to address the problem of
inspecting soldered joints, active device pins, component leads and
the mounting of special devices, ii) development of knowledge based
approaches to guide and control the above surface based inspection problem
and to verify component identity. The strategic objectives of the project
include the following: Development of 3D scene modelling and surface
segmentation methods specifically in the context of the loaded PCB inspection
domain; Development of surface inspection approaches; Representation and
application of geometric, attribute and relational models of objects and
their arrangements in the application domain of electronic system assembly.
The research problems to be addressed in order to meet these objectives are
generic in nature. It is anticipated therefore that the research results
will have bearing on other application areas of computer vision.
The proposed research will advance the state of the art in automatic loaded
PCB inspection by:
1 evaluating existing 3D surface segmentation methods in the
context of loaded PCB inspection,
2 developing robust surface modelling methods,
3 providing techniques and algorithms for surface inspection,
4 enhancing the methods of component identification and
verification, and
5 developing inspection strategies that will allow full integration
of automatic printed circuit assembly, inspection and rework.
VISION BY ASSOCIATIVE REASONING
The project is concerned with the study of relaxation labelling processes
in the computer vision context. The aim of the research will be to develop
and apply existing probabilistic and discrete relaxation algorithms
to image interpretation problems at intermediate levels of processing
where the prior world knowledge may most naturally be specified in terms of
explicit rules. It will be necessary to develop a suitable interface that
facilitates the conversion of such rules into a form that can be used
directly by the evidence combining scheme employed in the relaxation
process. The work will also involve the development of evidence combining
methods for multilevel relaxation, development of hierarchical models
and corresponding hierarchical relaxation processes. The relationship
of relaxation processes and neural net computation will be investigated.
------------------------------
End of VISION-LIST
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