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VISION-LIST Digest Volume 10 Issue 44
VISION-LIST Digest Fri Oct 18 10:40:45 PDT 91 Volume 10 : Issue 44
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Today's Topics:
Discrete uncertainty principle?
Visual Hand Gesture Recognition
MiniWarper Product Announcement
Sun software for visual psychphysics experiments
Frame grabbers
Post-doctoral Research Fellowship in Vision Research
Graduate study in Cognitive & Neural Systems at Boston University
CFP: Visual Segmentation Meeting
CFP: Symposium on Reasoning with Diagrammatic Representations
----------------------------------------------------------------------
Date: Fri, 18 Oct 91 14:25:39 +0100
From: ronse@labri.greco-prog.fr (Christian RONSE)
Subject: discrete uncertainty principle?
Consider analogic functions defined on R. Write ||f|| for the L2-norm
of a function f (that is, the square root of the integral of the
squared absolute value of f). It is known (see for example Papoulis)
that for a function f such that f, f', and xf(x) are all in L2, and
x.f(x)^2 vanishes at infinity, we have the uncertainty relations:
||f|| <= 2 ||f'||.||xf(x)||.
Replacing f' by its Fourier transform, this becomes
||f|| <= 4pi ||sF(s)||.||xf(x)||,
where F is the Fourier transform of f. Moreover, the equality holds if
and only f is of the form f(x)= C.exp(-K.x^2), where K>0 (i.e., a
multiple of a Gaussian).
My question is: has someone come up with a discrete version of these
inequalities for functions defined on Z?
I am doing it right now, but I do not want to reinvent the wheel.
Send your answer to:
Christian Ronse ronse@geocub.greco-prog.fr
Tel. (33) 56.84.69.33
LaBRI
Universite de Bordeaux-I
351 cours de la Liberation
33405 TALENCE
FRANCE
------------------------------
Date: Wed, 16 Oct 91 14:26:52 +0100
From: ahmad%bsun7@ztivax.siemens.com (Subutai Ahmad)
Subject: Visual Hand Gesture Recognition
We are currently starting a project for recognizing three dimensional
hand gestures in real time. Such a system would be used as an
alternative interface to simulated 3d scenes. I would like to find
out about any existing systems that do something like this. Could
someone point me to any literature/projects/ideas related to this
topic? (Please e-mail to the address given below. I will summarize
responses on this list.)
Thanks in advance,
Subutai Ahmad
Siemens AG, ZFE IS INF-1,
Raum 63.213, Otto-Hahn-Ring 6, Phone: +49 89 636-3532
D-8000 Munich 83, Germany E-mail: ahmad%bsun5@ztivax.siemens.com
------------------------------
Date: Wed, 16 Oct 91 09:42:46 EDT
From: shep@datacube.com (Shep Siegel)
Subject: MiniWarper Product Announcement
We have just started volume production on a new product called MiniWarper.
Because of the specialty nature of the product, we thought the Vision List
Digest readers may be interested in this information. The text that follows
was part of a press release issued a few months ago. Technical comments or
questions can be sent to me. Commercial inquiries via the usual channels.
Shep Siegel, Principal Design Engineer; shep@datacube.com
MiniWarper Team Leader
Datacube, Inc. 4 Dearborn Rd., Peabody, MA 01960; 508.535.6644
MiniWarper
MiniWarper is a 20 MHz MaxModule designed for Max-20 and the growing range
of 20 MHz Series-20 Datacube products. Self-contained, it is capable of
20 Mpixel/second second order warping of images as large as 1K by 1K.
In conjunction with Max-20, higher order warps of larger images are
possible. MiniWarper's small footprint (19 square inches), low cost, and
high integration make it ideal for the solution of many image warping
problems. MiniWarper may be used in 10MHz MaxModule carriers (e.g. SP-MKII
and Featuremax MKII), but at a 10MHz processing rate.
Significant technical attributes of MiniWarper are as follows:
20 MHz MaxModule form factor. (Series-20 daughter option).
1 Mbyte, 1K by 1K 8-bit, image store, I/O mapped to CPU.
256 Kbyte, 8-bit, coefficient store, I/O mapped to CPU.
High-Speed CPU access to I/O mapped images and coefficients.
40 Mpel/sec memory write bandwidth.
20 Mpel/sec, 2 by 2 (bi-linear) interpolation render rate.
Low power consumption: 3 Watts Typical, 6 Watts Maximum.
Filter aperture expandable to non-separated 8 by 8.
Data and Coefficient precision expandable to 12-bits.
Second order, 40-bit, 20 MHz address generator for polynomial warps.
Arbitrary warps via "comes from" address held in external memory.
Software support of hardware through ImageFlow's warper model.
MiniWarper is third generation image manipulation technology from the
company that designed the first board level warper products back in the mid
1980's. Realizing the space and cost sensitivity of many imaging applications;
MiniWarper provides an easy upgrade path to those wishing to
add warping facility to any MaxVideo system.
MiniWarper is 100 to 1000 times faster than "software" solutions running on
fast 68040, i860, SPARC, or similar platforms. MiniWarper thus can provide
an easy way to off-load the image transformation and rendering function
thereby accelerating other system tasks. Even if only scaling the windows of
an imaging workstation, MiniWarper provides significant performance gains.
MiniWarper was developed and debugged using "state-of-the-art" CAE tools,
including Datacube developed logic synthesis. Board level simulation
with VHDL convolver models, SRAM, and full gate level AC modeling, were
employed to make the design "right-first-time" and ensure operating
margins.
------------------------------
Date: Wed, 16 Oct 91 11:50:24 IST
From: mic@cs.Technion.AC.IL (Michael Lindenbaum)
Subject: Sun software for visual psychphysics experiments
Does anybody know about software for sun computers (or other
workstations) for making Visual search and other psychphysics
experiments. The program should be able to create displays and
measure subjects' reactions and response times.
It does not have to be neccesarily a public-domain one.
Michael
Michael Lindenbaum
Dept. of Computer Science
Technion, Israel.
------------------------------
Date: Wed, 16 Oct 91 12:33:27 -0400
From: djb@babypuss.mitre.org (David J. Braunegg)
Subject: frame grabbers
I am looking for a frame grabber to interface to a Sun4 Sbus. Does
anyone have suggestions for frame grabbing hardware (with phone
numbers and addresses, if possible). Coming in via the SCSI interface
is also a possibility.
I'll be doing vision work where the repeatability of the imaged
location of an observed point is important. I've heard that the Sun
Videopix will not give repeatable images due to their grabbing method.
Any comments?
Also does anyone have any suggestions for cameras? I'm interested in
both B&W and color cameras. I am looking for something with good
resolution for the money and hope not to head too far over $1000.
Thanks,
Dave
------------------------------
From: Anya Hurlbert <Anya.Hurlbert@newcastle.ac.uk>
Date: Wed, 16 Oct 91 16:08:31 BST
Subject: Post-doctoral Research Fellowship in Vision Research
Post-doctoral Research Fellowship
Vision Research
University of Newcastle-upon-Tyne
Applications are invited for an SERC-funded post-doctoral position in
vision research at the University of Newcastle-upon-Tyne, England. The
research will involve computational and psychophysical studies of
human perception of color and 3D shape. One question to be addressed
is how humans integrate information from multiple cues to recognize
objects. The laboratory contains a network of SUN workstations and
PCs, an imaging system and a visual psychophysics set-up, including a
color graphics workstation for stimulus generation. Backgrounds in
computer science, physics, mathematics, machine vision, neuroscience,
or psychology would be appropriate. Good computing skills would be an
advantage.
The position is for three years, starting in January 1992. Salary
will be at the age-appropriate level on the RS1A scale (now 11,969 -
19,073 pounds per year).
To apply, please send c.v. plus the names of two referees,
before 29 Nov, to:
Dr. A. C. Hurlbert,
Department of Physiology,
Medical School,
Framlington Place,
Newcastle-upon-Tyne NE2 4HH
ENGLAND
Tel: (UK) 091-222-7638
Fax: (UK) 091-222-6706
e-mail:Anya.Hurlbert@newcastle.ac.uk
Informal inquiries welcomed at the same address.
------------------------------
Date: Thu, 17 Oct 91 12:58:42 -0400
From: dlukas@park.bu.edu (David Lukas)
Subject: Graduate study in Cognitive & Neural Systems at Boston University
***********************************************
* DEPARTMENT OF *
* COGNITIVE AND NEURAL SYSTEMS (CNS) *
* AT BOSTON UNIVERSITY *
***********************************************
Stephen Grossberg, Chairman
The Boston University Department of Cognitive and Neural Systems
offers comprehensive advanced training in the neural and computational
principles, mechanisms, and architectures that underly human and
animal behavior, and the application of neural network architectures
to the solution of outstanding technological problems.
Applications for Fall, 1992 admissions and financial aid are now
being accepted for both the MA and PhD degree programs.
To obtain a brochure describing the CNS Program and a set of application
materials, write or telephone:
Department of Cognitive & Neural Systems
Boston University
111 Cummington Street, Room 240
Boston, MA 02215
(617) 353-9481
or send a mailing address to: kellyd@cns.bu.edu
Applications for admission and financial aid should be received by
the Graduate School Admissions Office no later than January 15.
Applicants are required to submit undergraduate (and, if applicable,
graduate) transcripts, three letters of recommendation, and Graduate
Record Examination (GRE) scores. The Advanced Test should be in the
candidate's area of departmental specialization. GRE scores may be
waived for MA candidates and, in exceptional cases, for PhD candidates,
but absence of these scores may decrease an applicant's chances for
admission and financial aid.
Description of the CNS Department:
The Department of Cognitive and Neural Systems (CNS) provides advanced
training and research experience for graduate students interested in the neural
and computational principles, mechanisms, and architectures that underlie human
and animal behavior, and the application of neural network architectures to the
solution of outstanding technological problems. Students are trained in a broad
range of areas concerning cognitive and neural systems, including vision and
image processing; speech and language understanding; adaptive pattern
recognition; cognitive information processing; self-organization; associative
learning and long-term memory; cooperative and competitive network dynamics and
short-term memory; reinforcement, motivation, and attention; adaptive
sensory-motor control and robotics; and biological rhythms; as well as the
mathematical and computational methods needed to support advanced modeling
research and applications. The CNS Department awards MA, PhD, and BA/MA degrees.
The CNS Department embodies a number of unique features. It has
developed a core curriculum that
consists of ten interdisciplinary graduate courses each of which
integrates the psychological, neurobiological, mathematical, and computational
information needed to theoretically investigate fundamental issues concerning
mind and brain processes and the applications of neural networks to technology.
Additional advanced courses, including research seminars, are also offered.
Each course is typically taught once a week in the evening to make the program
available to qualified students, including working professionals, throughout
the Boston area. Students develop a coherent area of expertise by designing a
program that includes courses in areas such as Biology, Computer Science,
Engineering, Mathematics, and Psychology, in addition to courses in the CNS
core curriculum.
The CNS Department prepares students for thesis research with scientists
in one of several Boston University research centers or groups, and with
Boston-area scientists collaborating with these centers. The unit most closely
linked to the department is the Center for Adaptive Systems. The Center for
Adaptive Systems is also part of the Boston Consortium for Behavioral and
Neural Studies, a Boston-area multi-institutional Congressional Center of
Excellence. Another multi-institutional Congressional Center of Excellence
focused at Boston University is the Center for the Study of Rhythmic
Processes. Other research resources include distinguished research groups in
neurophysiology, neuroanatomy, and neuropharmacology at the Medical
School and the Charles River campus; in sensory robotics, biomedical
engineering, computer and systems engineering, and neuromuscular research
within the Engineering School; in dynamical systems within the mathematics
department; in theoretical computer science within the Computer Science
Department; and in biophysics and computational physics within the Physics
Department.
1991 FACULTY and STAFF of CNS and CAS:
Daniel H. Bullock Nancy Kopell
Gail A. Carpenter John W.L. Merrill
Michael A. Cohen Ennio Mingolla
H. Steven Colburn Alan Peters
Paolo Gaudiano Adam Reeves
Stephen Grossberg James T. Todd
Thomas G. Kincaid Allen Waxman
------------------------------
Date: Wed, 16 Oct 1991 07:05:14 -0400
From: cvnet%yorkvm1.bitnet@utcs.utoronto.ca
Subject: Visual Segmentation Meeting
UK Applied Vision Association
Visual Segmentation Meeting
CALL FOR PAPERS
The general task of analysing real images is complex and daunting.
The existence in human and animal visual systems of a fast, parallel
preattentive stage seems to be one solution to the problem of
processing the large amount of data quickly, but in sufficient detail
to then allow direction of an attention mechanism for further scrutiny
of parts of the image. The investigation of these preattentive
mechanisms covers a variety of techniques and disciplines, including
psychophysics, computer modelling and neurophysiology. The Applied
Vision Association is always keen to bring together different groups
to encourage the exchange of ideas. To this end the Association plans
to hold a 1 day meeting on Visual Segmentation at the Radcliffe
Infirmary, Oxford, on 19th February 1992. Papers are invited on the
general subject and in particular -
Visual Psychophysics of Preattentive Processing
Computer Models of Preattentive Vision
Neurobiology
Neural Network Models.
Closing date for abstracts November 30th 1991.
Abstracts and enquiries to -
Dr Ian Moorhead
WS6 Group, DRA (Military Division)
RARDE, Fort Halstead, Sevenoaks,
Kent, UK TN14 7BP
Tel 0959-32222, Ext 2426, Fax Ext 2453
e-mail rac1@ukc.ac.uk
RARDE(EC2), Fort Halstead, Sevenoaks, Kent. TN14 7BP
Phone: 0959-32222 ext: 2964
------------------------------
Date: Wed, 16 Oct 91 14:54:33 -0400
From: N Hari Narayanan <narayan@cis.ohio-state.edu>
Organization: The Ohio State University, Department of Computer and Information Science
Subject: CFP: Symposium on Reasoning with Diagrammatic Representations
Keywords: diagrammatic representations, imagery, reasoning, cognitive and computational aspects
Symposium on
Reasoning with Diagrammatic Representations
March 25,26, & 27, 1992
Stanford University
Sponsored by the American Association for Artificial Intelligence
Recently researchers have begun computational investigations of
representations that underlie imagery, visual processes that support
imagery, and the role of imagery in inference and reasoning. Though it
appears that many interesting problems of AI can benefit from this
corpus of research, there has been surprisingly little actual work in
this direction. So this symposium is designed as a forum to bring
together researchers from disciplines such as Artificial Intelligence,
Cognitive Psychology, Linguistics and Philosophy who share an interest
in imagery and reasoning. For the purposes of this symposium, the term
"diagrammatic representations" implies mental representations that
underlie imagery and computer representations that are image-based or
pictorial.
Broad goals of the symposium are:
* to stimulate interdisciplinary dialogues facilitating cross-fertilization,
* to provide a review of current state of research,
* to investigate potential roles of diagrammatic representations and reasoning
in different tasks, and
* to identify productive directions for future research.
Issues to be addressed in the symposium include, but are not limited to:
* cognitive theories of imagery and imaginal reasoning;
* novel approaches to computational realization of diagrammatic representation
and reasoning;
* how cognitive theories of imagery and imaginal reasoning provide constraints
to computational models;
* diagram understanding;
* potential uses of reasoning with diagrammatic representations in AI tasks;
* connections between the symposium topic and AI paradigms such as case-based
reasoning and model-based reasoning.
Submission deadline is November 15, 1991. For more information about the
symposium and submission requirements, contact:
Hari Narayanan
Laboratory for AI Research
Dept. of Computer & Info. Science
The Ohio State University
Columbus, OH 43210, USA
Tel: (614) 292-1413 Fax: (614) 292-1424
email: narayan@cis.ohio-state.edu
Organizing Committee:
B. Chandrasekaran; Co-chair (Ohio State), Yumi Iwasaki (Stanford),
Hari Narayanan (Ohio State), Herbert Simon; Co-Chair (CMU).
------------------------------
End of VISION-LIST digest 10.44
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