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VISION-LIST Digest Volume 10 Issue 15
VISION-LIST Digest Mon Apr 01 14:47:27 PDT 91 Volume 10 : Issue 15
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Today's Topics:
Re: stereo ground truth
Shape-From-Shading Synthetic Model
Re: Information needed on computer vision research on reading lips
Looking for a database for handwriting recog.!
Image Compression algorithms
Geomed
PD medical imaging SW
Need right-angle trinocular images.
CFP: Applied Intelligence
----------------------------------------------------------------------
Date: Wed 27 Mar 91 15:46:00-PST
From: Marsha Jo Hannah <HANNAH@ai.sri.com>
Subject: Re: stereo ground truth
> Derek Tolley (tolley@eola.cs.ucf.edu) writes:
> We are interested in finding disparity maps with ground truth
> for some stereo pairs. We are trying to compare the accuracy of some
> stereo algorithms, and would like to have a verified disparity map to
> compare with the results. If anyone has the sites where these pairs
> and their disparity maps can be found or other information, please
> email me. Thank you.
GOOD LUCK!!!! If you find any, let me know, as I've been looking for
such data for YEARS! A couple of years ago, I participated in a Test
on Image Matching run by a Working Group of the International Society
for Photogrammetry and Remote Sensing. They sent a set of 12 image
pairs to computational stereo and digital photogrammetry researchers
around the world, then evaluated the results that they got back. How
did they evaluate them? By sitting a trained photogrammetrist down at
a stereoscope, and having him look at them. I asked the organizer of
the test for a digital version of the photogrammetrist's "ground
truth", but apparently, it wasn't saved. Such is the state of the art!
There are a number of data sets around for which there are other
stereo algorithms' results available, and some aerial imagery comes
with DTMs (some manually derived, some semi-automatically), but there
always seems to be one little piece of information missing, which
prevents others from using the results for comparison. I keep telling
funding agencies that we need them to furnish ground truth, but so
far, nothing has been forthcoming.
Marsha Jo Hannah (hannah@ai.sri.com)
------------------------------
Date: Mon, 25 Mar 91 9:03 BST
From: TKLGOH <UMEMB57@vaxa.cc.imperial.ac.uk>
Subject: Shape-From-Shading Synthetic Model
Hi,
I am currently working on a shape-from-shading technique that would
require a shading model (synthetic) to test the algorithm. This model
shud be able to generate the usual shapes like spheres, planes n
cylinders.
Really appreciate if someone has this model or cud refer me to
another person. I am using 'C' language implemented on a microVax v4.7.
Thanks!
Pls email me at umemb57@uk.ac.ic.cc.vaxa
TKL
------------------------------
Date: Mon, 25 Mar 91 17:32:31 +0200
From: Giorgos Bebis <bebis@csi.forth.gr>
Organization: FORTH - CSI, P.O.Box 1385, Heraklio, Crete, Greece 711 10
Subject: Re: Information needed on computer vision research on reading lips
In comp.ai.vision you write:
>I'm looking for information regarding computer vision research
>in reading lips. This would include both current work and any articles
>that have been published on the subject. Any other help would also
>be appreciated.
>Glenn Martin
>University of Central Florida
>martin@eola.cs.ucf.edu
There is a Neural Network approach on the problem you interested :
B. Yuhas, M. Goldstein and T. Sejnowski "Integration of Acoustic and
Visual Speech Signals Using Neural Networks", IEEE Communications Magazine,
November 1989.
Hope this help ...
George Bebis
Dept. of Computer Science,
University of Crete, Iraklion, Crete, GREECE.
------------------------------
Date: Tue, 26 Mar 1991 17:22:29 GMT
From: kamadoss@clutx.clarkson.edu (Shyam S. Kamadolli)
Organization: Clarkson University
Subject: Looking for a database for handwriting recog.!
We are developing a neural network for handwritten character
recognition and we need a database to train and test our network.
Before spending many hours developing our own, does anybody have
or know of one we could copy?
Please e-mail all replies to :
shyam@sun.soe.clarkson.edu
Thanx in advance.
Shyam Kamadolli;
Dept. of Electrical Engg.,Clarkson Univ.,Potsdam,NY13676.
------------------------------
Date: Mon, 25 Mar 91 13:47:53 EST
From: perry@dewey.CSS.GOV (John Perry)
Subject: Image Compression algorithms
I am interested in obtaining algorithm description and source code (if
available) for compressing imagery. I am most interested in X-ray
images. I have 8-bit data. Also, what standards exist, if any ?
Does hardware exist for this purpose, and on what platforms, Sun's,
Mac's, etc. ?
Any information regarding this topic would be appreciated.
Thanks,
John
------------------------------
Date: 27 Mar 91 22:08:36 GMT
From: sechang@corp.sun.com (SeChang Oh - Sun Intercon Eng)
Subject: Geomed
Keywords: Geometric Modelling, Computer Vision
Is anyone familar with program call 'Geomed'
which is Geometric Modelling for Computer Vision ??
I think this is an old software. I would like to receive
a copy of the source if possible.
Please respond to me at 'sechang@corp.sun.com'
I don't read this mail group.
thank you,
sechang
------------------------------
Date: Thu, 28 Mar 91 16:05:42 MET DST
From: bellutta@irst.it (Paolo Bellutta)
Organization: I.R.S.T. 38050 POVO (TRENTO) ITALY
Subject: PD medical imaging SW
A friend of mine asked me if there is Public Domain SoftWare for
cardio-echographic image processing. Does anyone have references to where
to look? Some reference to non-public domain SW is welcome too, as well as
few words on pros and cons.
Paolo Bellutta
I.R.S.T. vox: +39 461 814417
loc. Pante' di Povo fax: +39 461 810851
38050 POVO (TN) e-mail: bellutta@irst.it
ITALY bellutta%irst@uunet.uu.net
------------------------------
Date: 29 Mar 91 12:11 -0800
From: fred chin <chin@cs.sfu.ca>
Subject: Need right-angle trinocular images.
I am doing a research on trinocular vision. since I can't get good
right-angle trinocular images from our lab, would someone kindly tell
me where I can FTP them or send some to me? I would prefer IFF,
Sun-Raster, or CXAP formatted images. Thanks in advance!
Fred chin@fornax.UUCP
chin@cs.sfu.ca
------------------------------
Date: 27 Mar 91 15:34:38 GMT
From: ashwin@gatech.edu (Ashwin Ram)
Subject: CFP: APPLIED INTELLIGENCE
Organization: Georgia Institute of Technology, College of Computing
*** CALL FOR PAPERS ***
APPLIED INTELLIGENCE:
The International Journal of Artificial Intelligence,
Neural Networks, and Complex Problem-Solving Technologies
EDITOR IN CHIEF
Dr. Moonis Ali
Professor of Computer Science
The University of Tennessee Space Institute
Tullahoma, TN 37388
EDITORIAL BOARD
T.R. Addis, University of Reading
Luigia C. Aiello, Univ. degli S. diRoma
Jan Aikins, Aion Corp.
Shun-ichi Amari, Univ. of Tokyo
J.H. Andreae, Univ of Canterbury
Yuichiro Anzai, Keio Univ.
James C. Bezdek, Univ. of West Florida
W. Bibel, Technische Hochschule
Leonard Bolc, Polish Acad. of Science
Ivan Bratko, Josef Stefan Inst.
Paul Chung, Univ. of Edinburgh
Greg Clemenson, Intell. Corp.
Michael A. Cohen, Boston University
A. Costes, Centre Nat. Rsch. Sci
John Doyle, MIT
Michael G. Dyer, UCLA
Mark S. Fox, Carnegie Mellon Univ.
Ing. E. Freund, University Dortmund
K. Fukushima, Osaka University
Michael Georgeff, AAII
Stephen Grossberg, Boston University
K.H. Hanne, Fraunhofer Institute
H.W. Hein, Univ. of Dortmund
Anil K. Jain, Michigan State University
Wiktor Assem, Polish Academy of Science
L. Johnson, Burnel University
Arvind Oshi, University of Pennsylvania
Richard E. Korf, UCLA
Michael Magee, University of Wyoming
M. Matthews, University of S. Carolina
John McDermott, Digital Equipment Corp.
R. Michalski, George Mason University
Sanjay Mittal, Xerox Corp.
John Mylopoulos, University of Toronto
Arnold Norman, Rockwell International
Gordon S. Novak, UT, Austin
Setsuo Ohsuga, University of Tokyo
Judea Pearl, UCLA
Fernando Pineda, Jet Propulsion Laboratories
Ivan Plander, Slovak Academy of Science
J. Polak, Czech University of Tech.
R. Popplestone, University of Mass
Dmirtri Pospelov, USSR Academy of Science
Ashwin Ram, Georgia Institute of Technology
Elaine Rich, MCC, Austin
Paul Rosenbloom, USC
Azriel Rosenfeld, University of Maryland
David Rumelhart, Stanford University
Erik Sandewall, Linkiping University
W. Schonfeld, IBM Deutschland
Mildred Shaw, University of Calgary
Howie Shrobe, Symbolics Inc.
R.L. Simpson, Jr., Dept. of Defense
J.S. Sridharan, F.M.C. Copr.
Peter H. Sydenham, SAIT
Harold Szu, Naval Research Lab.
Harold Thimbleby, University of Stirling
M. Vukobratovic, Mihajlo Pupin Institute
W. Wahlster, Univ. des Saarlandes
S. Watanabe, Toshiba Corp.
C.R. Weisbin, Jet Propulsion Lab.
Sholom M. Weiss, Rutgers University
Bernard Widrow, Stanford University
Ian H. Witten, University of Calgary
Masoud Yazdani, University of Exeter
Lotfi Zadeh, UC, Berkeley
Jin-Wen Zhang, ISAS
AIMS & SCOPE
The objective of this journal is to provide a medium for exchanging
scientific research and technological achievements accomplished by
the international community. The focus for the reported work will
be on research in artificial intelligence and neural networks. The
journal will address issues involving solutions of real-life
manufacturing, defense, management, government and industrial
problems which are too complex to be solved through conventional
approaches and which require the simulation of intelligent thought
processes, heuristics, application of knowledge, and distributed and
parallel processing. The integration of these multiple approaches
in solving complex problems will be of particular importance. The
emphasis of the reported work will be on new and original research
and technological developments rather than on reports concerning the
applications of existing technology to different sets of data.
Earlier work reported in these fields has been limited in
application and has solved simplified, structured problems which
rarely occur in real-life situations. Only recently have
researchers in the field started addressing real and complex issues
applicable to difficult problems. This journal welcomes these
developments and seeks to be a catalyst in disseminating the
original research and technological achievements of the
international community in these areas. Topics of interest include
but are not limited to:
Knowledge-Based Expert Systems Knowledge Representation
Knowledge Acquisition Machine Learning
Natural Language Processing Qualitative & Temporal Reasoning
Uncertainty Management Qualitative Models
Intelligent Database Systems Pattern Recognition
Vision Speech Recognition & Synthesis
Intelligent Interfaces Knowledge-Based Methodologies
Autonomous Systems Real-time Systems
Intelligent Manufacturing Sensor Fusion
Planning & Scheduling Monitoring & Prediction
Analysis & Prediction Decision Making
Classification & Recognition Modeling & Design
Feature Extraction Robotics &Controls
Automatic Tracking System Dependability
Neural Net Architectures Neurological Connections
Optical Neurocomputers Electrical Neurocomputers
Associative Memory Learning Methodologies
Self Organization Network Dynamics
Adaptive Resonance Combinational Optimization
Distributed & Parallel Processing Neural Simulation & Modeling
Cooperative & Competitive Processing
FOR SUBSCRIPTION INFORMATION AND INSTRUCTIONS FOR AUTHORS, CONTACT:
Karen S. Cullen
Kluwer Academic Publishers
101 Philip Drive
Norwell, MA 02061
OR SEND E-MAIL TO:
<Kluwer@world.std.com>
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End of VISION-LIST digest 10.15
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