Date: 22 Jun 92 16:44:44-PST
From: Vision-List moderator Phil Kahn <Vision-List-Request@ADS.COM>
Errors-to: Vision-List-Errors@ADS.COM
Reply-to: Vision-List@ADS.COM
Subject: VISION-LIST digest 11.23
To: Vision-List@ADS.COM

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

----------------------------------------------------------------------

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

------------------------------

End of VISION-LIST digest 11.23
************************
