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VISION-LIST Digest Volume 11 Issue 23
VISION-LIST Digest Mon Jun 22 16:44:45 PDT 92 Volume 11 : Issue 23
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Today's Topics:
Looking for object-oriented DB software
Recognizing human gait: Dissertation & data available via ftp
Colour Constancy code
Survey papers on motion analysis: References wanted
Postdoctoral Fellowship in Neuroscience at NIMH
SPIE Conf. on Machine Vision Applications in Industrial Inspection
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Date: Mon, 22 Jun 92 15:29:13 -0700
From: shapiro@cs.washington.edu (Linda Shapiro)
Subject: Looking for object-oriented DB software
I'm designing a visual database system for computer vision
research and am looking for an object-oriented database system
that it can sit on top of. Does anyone have experience with
such a system, particularly public domain software?
Linda Shapiro
University of Washington
shapiro@cs.washington.edu
206-543-2196
------------------------------
Date: Wed, 17 Jun 92 17:05:37 -0400
From: ngoddard@carrot.psc.edu
Subject: Recognizing human gait: Dissertation & data available via ftp
I have placed the human motion sequences used in my thesis in the file
pub/outgoing/public-mld-data.tar.Z on ftp.psc.edu (128.182.62.148).
This file contains the raw data, a smoothed version of some of it, and
code for extracting and displaying the motion sequences. It is
contributed to the community with no guarantee of follow-up. I ask
only that you make appropriate acknowledgement in publications which
use the sequences or code, and notify me (ngoddard@psc.edu) of the
publication. I expect they could be of use for people working on
stereo, correspondence, tracking, structure-from-motion, and
recognition. My dissertation:
"Perception of Articulated Motion: Recognizing Moving Light Displays"
is available for ftp from cs.rochester.edu (192.5.53.209) in file
pub/papers/ai/92.tr405.moving_light_displays.ps.Z. It is more fun if
printed double sided. The short story is: actor-independent gait
recognition is achieved using a novel parallel attention mechanism,
requiring about one second of input (people need about half a second).
These motion sequences are taken from a WATSMART gait analysis system.
Each frame contains the location of 8 markers which where attached to
the joints of a person who was moving (walking, running, etc) roughly
parallel to the image plane. The marked joints were distal (far)
wrist and ankle, and proximal (near) shoulder, elbow, wrist, hip, knee
and ankle. There are raw 2D data from a pair of cameras (giving a
stereo pair) and 3D data computed by the WATSMART software from the 2D
data. The 3D locations are given in tenths of a millimetre. Since
motion was roughly parallel to the image plane, there is almost no
motion in depth. The frame rate is 100 frames/second. There are
several samples of walking, running, skipping, running on the spot and
possibly other movements from four individuals, two male and two
female. The smoothed data provides several samples of complete cycles
of walking, running and skipping from each of the four actors.
Nigel Goddard
ngoddard@psc.edu
------------------------------
Date: Wed, 17 Jun 1992 03:59:44 GMT
From: brian@marsh.cs.curtin.edu.au (Brian Fergusson)
Organization: Curtin University of Technology
Subject: Colour Constancy code
Hello,
I am currently researching computer colour vision and I am in need of
code for colour constancy, preferably in C, or possibly any algorithms
for achieving colour constancy.
Your help is very much appreciated.
Email: brian@marsh.cs.curtin.edu.au
Department of Computer Science
Curtin University of Technology
Bentley, Western Australia, 6102.
------------------------------
Date: Tue, 16 Jun 1992 13:40:28 +0200
From: Chandra SHEKHAR <Sundaresan.Chandrashekhar@sophia.inria.fr>
Subject: Survey papers on motion analysis: References wanted
I'm doing a survey of existing methods of motion analysis, and I'd
like references to other survey papers that may have been
written/published recently. Also, if anybody has done such a survey
recently, for a dissertation, for instance, I'd appreciate a copy by
email.
I'm interested in *all* motion techniques, including, but not
restricted to, optic flow-based methods, feature-based methods,
AI-based methods, qualitative approaches, active approaches, etc.
Thank you.
Chandy
------------------------------
Date: Sun, 21 Jun 1992 13:08:59 GMT
From: rge@helix.nih.gov (roger erickson)
Organization: National Institutes of Health, Bethesda
Subject: Postdoctoral Fellowship in Neuroscience at NIMH
A postdoc position is available for an ai-person interested in
cognitive neuroscience. The setting is a lab working on visual-spatial
processing, attention and short-term memory during visual tasks.
We need someone willing to collaborate on current projects and help
develop complex real-time animation as well as work on multiprocessing models.
Helpful skills would include experience with real-time data
acquisition and process control, OS-9, VME and Amiga graphics.
Applicants must possess Ph.D degree by time of employment. Anyone
interested should write to:
rge@helix.nih.gov
roger erickson
Nat. Inst. Mental Health
PO Box 289
Poolesville, MD 20837
------------------------------
Date: Tue, 16 Jun 92 11:50:52 EDT
From: "Frederick Y. Wu" <fwu@watson.ibm.com>
Subject: SPIE Conf. on Machine Vision Applications in Industrial Inspection
CALL FOR PAPERS
MACHINE VISION APPLICATIONS IN INDUSTRIAL INSPECTION
Conference Chairs: Benjamin M. Dawson
MIT and Imaging Technology, Inc.
Frederick Y. Wu
IBM T.J. Watson Research Center
Program Committee:
Ning Chang, Electroglas/Xynetics
Robert Haralick, U. of Washington
Ramesh Jain, U. of Michigan
Arturo Rodriguez, IBM Corp.
Jorge Sanz, IBM Corp.
Computer-based machine vision can often replace and improve
on human vision in industrial inspection tasks and provide
improvements in manufacturing speed, quality, compliance
with product regulations and standards, and product
competitiveness. Advances in machine vision hardware, algo-
rithms, and software and the corporate emphasis on quality
and production efficiency have greatly accelerated the de-
velopment and application of machine vision in industrial
inspection.
This conference brings together practitioners and research-
ers in machine vision to share recent developments in vision
hardware, algorithms, and software and their applications to
industrial inspection tasks. Papers are solicited in the
areas of:
o Novel hardware designs for machine vision systems
o New or improved algorithms for industrial inspection
o Automatic defect classification
o Use of 3-D or color imaging in automatic inspection
o Software systems for flexible automatic inspection sys-
tems
o Applications of machine vision to microelectronics manu-
facturing
o Applications of machine vision to other areas of indus-
trial inspection, such as:
Pharmaceuticals, web and paper products, glass and steel
inspection, and agriculture
o Systems integration issues in machine vision systems for
industrial inspection
Papers emphasizing fundamental methods that are widely ap-
plicable to industrial inspection are especially welcome.
All submissions will be peer reviewed.
Submission of Abstracts (Deadline July 5, 1992)
Please send four copies of the following to
SPIE/IS&T EI '93
SPIE
P O Box 10
Bellingham, WA 98227-0010
Shipping Address: 1000 20th Street
Bellingham, WA 98225
phone: 206-676-3290
fax: 206-647-1445
internet: spie@nessie.wwu.edu
1. Title of Paper
2. Authors' Listing (as it should appear in the program)
3. Full address of each author, including phone and fax
numbers, e-mail
4. Name of conference to which paper is being submitted
(Machine Vision Applications in Industrial Inspection/EI
'93)
5. Text of Abstract (500 to 1000 words)
6. Brief biography of principal author (50 to 100 words)
For further information, contact:
Fred Wu
phone: (914) 945-2498
FAX: (914) 945-2141
internet: fwu@watson.ibm.com
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End of VISION-LIST digest 11.23
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