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VISION-LIST Digest 1990 11 20
Vision-List Digest Tue Nov 20 12:43:26 PDT 90
- Send submissions to Vision-List@ADS.COM
- Send requests for list membership to Vision-List-Request@ADS.COM
Today's Topics:
Color Indexing
PADL-2 request
Info. about laser scanners
Re: Personal Bibliographies
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Subject: Color Indexing
Date: Sat, 17 Nov 90 20:09:01 -0600
From: swain@gargoyle.uchicago.edu
The color work reported in the Wall Street Journal is my thesis work, done
at the University of Rochester. The thesis, entitled "Color
Indexing", is published as Technical Report 360. To order it, write
to tr@cs.rochester.edu. The cost is $8.00 (100 pp., 8 pp. of color
prints.) If you are interested in a copy of the "companion videotape"
(6 min, showing the real-time algorithms running on the Datacube)
mention that in your note; we're still working on the most inexpensive
way of getting it duplicated. Please allow a couple of weeks for
delivery, as the TR is still in the process of being printed.
Summaries of the thesis have appeared as "Indexing Via Color
Histograms", by Swain and Ballard, in the proceedings of the DARPA
Image Understanding Workshop and ICCV '90. For related work, see
"Real-Time Detection of Multi-Colored Objects" by Wixson and Ballard
in SPIE Sensor Fusion II: Human and Machine Strategies, '89.
The thesis abstract is:
"Color Indexing"
Computer vision is moving into a new era in which the aim is to develop
visual skills for robots that allow them to interact with a dynamic,
unconstrained environment. To achieve this aim, new kinds of vision
algorithms need to be developed which run in real time and subserve the
robot's goals. Two fundamental goals are determining the identity of
an object with a known location, and determining the location of a
known object. Color can be successfully used for both tasks.
Color histograms of multicolored objects provide a robust, efficient
cue for indexing into a large database of models. We show that color
histograms are stable object representations in the presence of
occlusion and over change in view, and that they can differentiate
among a large number of objects. For solving the identification
problem, we introduce a technique called Histogram Intersection, which
matches model and image histograms, and a fast incremental version of
Histogram Intersection which allows real-time indexing into a large
database of stored models. We demonstrate techniques for dealing with
crowded scenes and with models with similar color signatures. For
solving the location problem we introduce an algorithm called Histogram
Backprojection which performs this task efficiently in crowded scenes.
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Date: Thu, 15 Nov 90 14:41:28 +0100
From: jann@vision.auc.dk (Jan Nielsen)
Subject: PADL-2 request
Hi,
Does anybody of a CAD modeling system called PADL-2 ? It has as far as
I know been used for several vision purposes. What is it's status
(public domain, commercial) ? and how can I get hold of it.
Thanx
Jan Nielsen, Lab. of Image Analysis | Phone +45 98 15 85 22, ext. 4964
Aalborg University | Telefax +45 98 15 40 08
Fredrik Bajersvej 7D | E-mail : jann@vision.auc.dk
DK-9220, Aalborg, Denmark | jann@iesd.auc.dk
------------------------------
Date: 16 Nov 90 01:44:03 GMT
From: arma@kaa.eng.ohio-state.edu
Subject: info. about laser scanners
Organization: The Ohio State University Dept of Electrical Engineering
I would like to receive information about laser scanners and Range
information finding using those scanners. (structured light scanning is
also of interest). If you could give me the names of references (books,
papers, dissertations). I am interested in studying the theory behind
these and not to know about existing software that does this.
Thanks in advance (I am working on how to get depth information from
laser scanning).
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Date: Fri, 16 Nov 90 07:45:10 cst
From: Sanjiv K. Bhatia <sanjiv@hoss.unl.edu>
Subject: Re: Personal Bibliographies
Organization: Computing Resource Center, University of Nebraska
This is in response to Paul Netherwood's suggestion about making available the
personal bibliography. My bibliography contains 158 records as of now and
contains entries in Knowledge Acquisition, Machine Learning, Information
Retrieval, Logic, and Intelligent Tutoring Systems. All the entries have an
abstract. The bibliography is in refer format and is available via anonymous
ftp from fergvax.unl.edu in directory pub.
Sanjiv K. Bhatia Department of Computer Science
sanjiv@fergvax.unl.edu Ferguson Hall 115
voice: (402)-472-3485 University of Nebraska - Lincoln
fax: (402)-472-7767 Lincoln, NE 68588-0115
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End of VISION-LIST
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