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VISION-LIST Digest Volume 10 Issue 08
VISION-LIST Digest Mon Feb 11 09:36:05 PDT 91 Volume 10 : Issue 8
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Today's Topics:
Image restoration
Summer Research Positions
Color Vision: BBS Call for Commentators
Call for Papers: Journal of Mathematical Imaging and Vision
8'th Israeli Conference on Artificial Intelligence and Computer Vision
Call for Papers: Special Session on Multisensory Computer Vision
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Date: Fri, 1 Feb 91 10:44:18 EST
From: ge@acsu.buffalo.edu (wang ge)
Subject: Image restoration
Hi!
I am very interested in restoring an image. I heard there
may exist some public software for image restoration.
Any info will be highly appreciated (C codes are preferred).
My address is ge@acsu.buffalo.edu
Best regards!
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Date: Wed, 6 Feb 91 15:39:14 CST
From: Bruce Flinchbaugh <flinchbaugh@m2.csc.ti.com>
Subject: Summer Research Positions
TI Summer Research Positions in Image Understanding
If you are a graduate student in computer vision, and you are interested
in a summer position at the TI Computer Science Center (Dallas, Texas),
please send us your resume for consideration. We have ongoing projects
in visual motion, image description, object recognition, and airborne
navigation, with emphasis on techniques for infrared images.
Bruce Flinchbaugh
Texas Instruments
Corporate Research, Development & Engineering
P.O. Box 655474, M/S 238
Dallas, TX 75265
email: bef@csc.ti.com
------------------------------
Date: Mon, 4 Feb 91 11:46:22 EST
From: Stevan Harnad <harnad@clarity.Princeton.EDU>
Subject: Color Vision: BBS Call for Commentators
[Apologies if you receive this Call more than once; it has been
sent to several lists, some with overlapping subscriberships]
Below is the abstract of a forthcoming target article to appear in
Behavioral and Brain Sciences (BBS), an international,
interdisciplinary journal that provides Open Peer Commentary on
important and controversial current research in the biobehavioral and
cognitive sciences. Commentators must be current BBS Associates or
nominated by a current BBS Associate. To be considered as a
commentator on this article, to suggest other appropriate
commentators, or for information about how to become a BBS Associate,
please send email to:
harnad@clarity.princeton.edu or harnad@pucc.bitnet or write to:
BBS, 20 Nassau Street, #240, Princeton NJ 08542 [tel: 609-921-7771]
To help us put together a balanced list of commentators, please give some
indication of the aspects of the topic on which you would bring your
areas of expertise to bear if you were selected as a commentator. A
nonfinal draft of the full text is available for inspection by
anonymous ftp according to the instructions following the abstract.
WAYS OF COLORING
Comparative color vision as a case study for cognitive science
Evan Thompson
Center for Cognitive Studies, Tufts University, Medford, MA. 02155
E-mail: ethompso@pearl.tufts.edu
Adrian Palacios
Department of Biology, Yale University, New Haven, CT. 06511
Institut des Neurosciences (CNRS- Paris VI), 9 Quai St. Bernard, 75005 Paris
E-mail: apalac@yalevm.bitnet
Francisco J. Varela
Institut des Neurosciences (CNRS- Paris VI), 9 Quai St. Bernard, 75005 Paris
CREA, Ecole Polytechnique, 1 rue Descartes, 75005 Paris
E-mail: fv@frunip62.bitnet
ABSTRACT: Different explanations of color vision favor different
philosophical positions: Computational vision is more compatible with
objectivism (the color is in the object), psychophysics and
neurophysiology with subjectivism (the color is in the head).
Comparative research suggests that an explanation of color must be both
experientialist (unlike objectivism) and ecological (unlike
subjectivism). Computational vision's emphasis on optimally
"recovering" prespecified features of the environment (i.e., distal
properties, independent of the sensory-motor capacities of the animal)
is unsatisfactory. Conceiving of visual perception instead as the
visual guidance of activity in an environment that is determined
largely by that very activity suggests new directions for research.
Keywords: adaptation, color vision, comparative vision, computation,
evolution, ecological optics, objectivism, ontology, qualia, sensory
physiology, subjectivism.
To help you decide whether you would wish to comment on this article, a
(nonfinal) draft is retrievable by anonymous ftp from princeton.edu
[in the /pub/harnad directory. Please email to harnad for ? on how to
perform this ftp. (Omitted for brevity.) phil... ]
------------------------------
Subject: Call for Papers: Journal of Mathematical Imaging and Vision
Date: Mon, 04 Feb 91 10:46:07 EST
From: jnw@shades.cis.ufl.edu
CALL FOR PAPERS
JOURNAL OF MATHEMATICAL IMAGING AND VISION
Gerhard X. Ritter
Center for Computer Vision Research, University of Florida
The _Journal of Mathematical Imaging and Vision_ is a technical journal
publishing important new developments in mathematical imaging and all aspects
of vision. The Journal will publish research articles, invited papers,
and expository articles.
Current developments in new image processing hardware, the advent of
multisensor data fusion, and rapid advances in vision research have led to an
explosive growth in the interdisciplinary field of imaging science and vision.
This growth has resulted in the development of highly sophisticated
mathematical models and theories. The aim of the journal is to emphasize
the role of mathematics as a rigorous basis for imaging science. This will
provide a sound alternative to present journals in this area. Contributions
will be judged on the basis of mathematical content. Articles may be
physically speculative but need to be mathematically sound. Emphasis is
placed on innovative or established mathematical techniques applied to vision
and imaging in a novel way, as well as new developments and problems in
mathematics arising from these applications.
The scope of the journal includes:
o Mathematical and computational models of vision including mathematical models
of biological vision systems
o Image algebra, mathematical morphology, and algorithm optimization techniques
o Mathematical methods in image reconstruction, compression, and coding.
o Linear and nonlinear image restoration.
o Parallel architectures and algorithms for integrated vision systems.
o Probablistic, statistical, geometric, topological, and fractal techniques
and models in imaging science and vision.
o Wave theory, inverse optics, electron optics, and optically inspired image
processing.
o Neural network techniques and models in vision and image processing.
Specific application areas of interest include, but are not limited to:
o All aspects of image analysis and image understanding.
o Medical imaging including electron optics and microscopy, tomography,
acoustic, and magnetic resonance imaging.
o Industrial imaging, machine vision, and mobile robot vision.
o Geophysical, space, and military imaging.
o All aspects of image analysis and image understanding.
o Computer vision architecture design.
The journal emphasizes its commitment to present coverage in these areas which
span the interest of a global audience. The Editorial Board strives to
publish manuscripts that are well-written, original, and make a significant
technical contribution. All submitted papers will be peer reviewed prior
to acceptance.
JOURNAL OF MATHEMATICAL IMAGING AND VISION
Editor in Chief:
Gerhard X. Ritter,
Center for Computer Vision Research,
University of Florida
Editorial Board:
Jake Aggarwal, University of Texas at Austin
Narenda Ahuja, University of Illinois
Frederick Bergholm, Royal Inst. or Technology
Bir Bhanu, Honeywell Systems & Research Center
Thomas Binford, Stanford University
Ruud Bolle, IBM, Thomas J. Watson Research Center
Michael Brady, University of Oxford
John H. Caulfield, University of Alabama, Huntsville
Su-Shing Chen, University of North Carolina, Charlotte
Jennifer L. Davidson, Iowa State University
Edward L. Dougherty, Rochester Institute of Technology
Jan-Olof Eklundh, Royal Institute of Technology
Paul D. Gader, Environmental Research Institute of Michigan
Arthur F. Gmitro, University of Arizona
Peter W. Hawkes, Laboratoire D'Optique Electronique du CEMES/CNRS
Robert Haralick, University of Washington
Robert A. Hummel, New York University
Anil K. Jain, Michigan State University
Takeo Kanade, Carnegie-Mellon University
Robert Kallman, University of North Texas
Makoto Nagao, Kyoto University
Azriel Rosenfeld, University of Maryland
Jorge Sanz, IBM Research Center
Jean Serra, Ecole Des Mines de Paris
Don Thompson, Iowa State University
Saburo Tsuje, Osaka University
Joseph N. Wilson, University of Florida
Alan L. Yuille, Harvard University
Steven Zucker, McGill University
Jehoshua Y. Zeevi, Technion, Israel
For Information on Paper Submission, Please Contact:
Karen S. Cullen,
JMIV - Editorial Office
Kluwer Academic Publishers
101 Philip Drive, Assinippi Park
Norwell, MA 02061
Ph: (617)871-6300 Fax:(617)871-6528
E-mail: karen@world.std.com
------------------------------
Date: Mon, 4 Feb 91 11:38:52 -0500
From: wolfson@roband.nyu.edu (Haim Wolfson)
Subject: 8'th Israeli Conference on Artificial Intelligence and Computer Vision
8'th Israeli Conference on Artificial Intelligence and Computer Vision
Tel-Aviv, December 30-31, 1991
The conference is the joint annual meeting of the Israeli Association for
Artificial Intelligence, and the Israeli Association for Computer Vision
and Pattern Recognition.
Papers addressing all aspects of AI and Computer Vision are solicited.
Authors should submit 4 copies of a full paper by June 1, 1991.
Notification of acceptance will be made by September 15, 1991.
Please, note that submission of a contribution implies a
commitment to present it, if accepted. The contributions
personally presented by the authors will be published in book form
by Elsevier Science Publishers, Amsterdam.
Papers should be sent to:
VISION: AI:
Dr. H. Wolfson Dr. M. Luria
8'th IAICV 8'th IAICV
School of Mathematical Sciences Computer Science Faculty
Tel Aviv University Technion
Tel Aviv 69978, Israel Haifa 32000, Israel
wolfson@math.tau.ac.il luria@cs.technion.ac.il
Program Committee
AI :
M. Balaban, M. Ben Bassat, R. Dechter, E. Gudes, Y.Feldman, T. Flash,
D. Lehmann, M. Luria, Y. Moses, U. Ornan, J. Rosenschein, U. Schield,
E. Shapiro.
Computer Vision :
V. Brailovsky, A. Bruckstein, S. Edelman, Z. Meiri, A. Meizles,
S. Peleg, M. Porat, M. Sharir, S. Ullman, M. Werman, Y. Yeshurun,
Y. Zeevi.
------------------------------
Date: Mon, 4 Feb 1991 14:24:55 EST
From: nn7e@fulton.seas.Virginia.EDU (Nagaraj Nandhakumar)
Subject: Call for Papers: Special Session on Multisensory Computer Vision
Call for Papers
Special Session on
Multisensory Computer Vision
1991 IEEE International Conference on Systems, Man & Cybernetics
October 13-16, 1991, Charlottesville, Virginia
Papers are solicited in the area of multisensory machine perception.
Papers should describe research in integrating information from
multiple sensors of the same and/or different sensing modalities.
Topics may include: (1) Physical/Phenomenological sensor fusion,
(2) Statistical methods for sensor fusion, (3) Model-based approaches,
(4) Approaches motivated by biological/natural systems, (5) Computational
&/or Architectural Issues. Other relevant research topics will also be
considered.
Please submit a three- or four-page extended abstract by March 1, 1991 to:
N. Nandhakumar
Dept. of Electrical Engineering
University of Virginia
Charlottesville, VA 22903-2442
(804) 924-6108
E-mail: nandhu@virginia.edu
Authors will be informed of the status of their submission by 1 May,
1991. Six pages will be allocated in the Proceedings for each paper.
Papers which exceed this length will be charged on a per page basis.
N. Nandhakumar nandhu@virginia.edu
Dept. of Electrical Engineering (804) 924-6108
University of Virginia
Charlottesville, VA 22903-2442
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End of VISION-LIST digest 10.8
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