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VISION-LIST Digest Volume 10 Issue 39
VISION-LIST Digest Tue Sep 17 10:35:56 PDT 91 Volume 10 : Issue 39
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Today's Topics:
Calibration using least-squares adjustment
Digitized images from 'Texture'
Returned mail: User unknown
3-D digitizers
Vantage models of assemblies needed
Survey paper on segmentation
Job Opportunity -- Postdoctoral Research
Atree release 2.0 adaptive logic network (ALN) simulation software (long)
CFP: Adaptive and Learning Systems (SPIE)
International Competitiveness in Advanced Optics and Imaging (long)
Psychophysical Scaling: BBS Call for Commentators (long)
----------------------------------------------------------------------
Date: Thu, 12 Sep 91 13:45:42 PDT
From: GENNERY@jplrob.JPL.NASA.GOV
Subject: Calibration using least-squares adjustment
A while back, a query appeared about camera calibration, and a
subsequent entry recommended Tsai's method. However, that method
(like many others used in computer vision) does not use a rigorous
least-squares adjustment. In a rigorous least-squares adjustment, all of the
unknown parameters are simultaneously adjusted to minimize the sum of
the squares of the residuals in all of the measured quantities (weighted
inversely proportionally to their variances if the measurements are not
equally accurate), with suitable constraints among the parameters to force
any theoretically required relationships to be exactly true.
In calibration, usually accuracy is more important than speed.
Therefore, there is not much justification for using approximate techniques.
Instead, a rigorous least-squares adjustment is preferred, even though the
nonlinear nature of the problem means that an iterative solution is then
required. Good initial approximations are usually available from a priori
information. Also, Gauss's method (linearizing the problem by means of
partial derivatives, solving the linear least-squares problem, and iterating)
leads to a straightforward formulation, produces rapid convergence in the
low-noise situations typically present in calibration, and produces the
covariance matrix of the result as a byproduct of the solution.
Explanation of this method can be found in standard texts on
least-squares adjustments, such as the following:
Y. Bard,
Nonlinear Parameter Estimation,
Academic Press, 1974.
E. M. Mikhail (with contributions by F. Ackermann),
Observations and Least Squares,
Harper and Row, 1976.
Application of these techniques to camera calibration can be found in the
photogrammetry literature (for example, in papers by Duane C. Brown). The
following two papers describe such a camera calibration method that has
been used with CCD TV cameras for computer vision:
D. B. Gennery, T. Litwin, B. Wilcox, and B. Bon,
"Sensing and Perception Research for Space Telerobotics at JPL,"
Proc. 1987 IEEE International Conference on Robotics and Automation,
Raleigh, NC, March-April 1987, pp. 311-317.
D. B. Gennery,
"Camera Calibration Including Lens Distortion,"
JPL internal report D-8580,
Jet Propulsion Laboratory, Pasadena, CA, 1991.
Donald B. Gennery
Jet Propulsion Laboratory
(gennery@robotics.jpl.nasa.gov)
------------------------------
From: chachere@cui.unige.ch
Date: 16 Sep 91 14:27
Subject: digitized images from 'Texture'
Does anyone know how I can access digitized images of the pictures
in Brodatz's book, "Texture"?
Thanks in advance
Lawrence Chachere
------------------------------
Date: 10 Sep 91 18:52:10 GMT
From: ddev@src.umd.edu (Don L. DeVoe)
Organization: Systems Research Center, Maryversity of Uniland, College Park
Subject: 3-D digitizers
I'm looking for any information on 3-D digitizers of all sorts...sonic,
capacitive/inductive, vision-based systems, etc. that are capable of
extracting 3-D coordinate information from an object. What systems
exist that can also extract surface normal orientation from an object? I
am interested in systems currently being marketed as well as pointers to any
theoretical work in this area.
Thanks!
Don DeVoe
------------------------------
Date: Thu, 12 Sep 1991 21:33:27 GMT
From: rwilson@Neon.Stanford.EDU (Randy Wilson)
Organization: Computer Science Department, Stanford University, Ca , USA
Subject: Vantage models of assemblies needed
I'm using Vantage, a lisp-based polyhedral solid modeler from Takeo
Kanade's group at CMU, to model mechanical assemblies in my research
on assembly planning. I would love to run the assembly planner on
lots of different models, but modeling each assembly takes a long
time. So I'm looking for one of two things:
1. Other people who are using Vantage and have gone to the work
of generating Vantage models for some assemblies, who might
send me the files (in exchange for mine if that would be of
help; I have built complicated models of a 22-part assembly
and a 36-part one and lots of smaller ones).
2. Anyone who has written or knows of an IGES or PDES translator
into or out of Vantage formats. This would allow me to exchange
models with a much broader user base.
Thanks in advance.
------------------------------
Date: 11 Sep 91 04:45:55 GMT
From: huiliu@eecs.cs.pdx.edu (Hui Liu)
Organization: Portland State University, Portland, OR
Subject: Survey paper on segmentation
Hi, Everybody:
Anyone knows if there is any survey paper on segmentation problem
in image processing?
We have a medical project on detecting the boundary of the spot on the
skin. I will appreciate if anyone knows and send me a e-mail so I can
know where to start.
Hui Liu
------------------------------
Date: Mon, 16 Sep 91 14:36:58 EDT
From: Greg Hager <hager-greg@CS.YALE.EDU>
Subject: Job Opportunity -- Postdoctoral Research
JOB OPENING:
The Yale Department of Computer Science Vision and Robotics laboratory
is seeking qualified individuals for a one to two year position in the
area of vision or machine perception. We are especially interested in
individuals with interests and experience in the areas of real-time
vision, active vision, or sensor-guided navigation or manipulation.
Candidates should hold a Ph.D. in computer science or related
discipline and have demonstrated research potential.
Send vitae and a list of three references to: Greg Hager
Department of Computer Science; Yale University; P.O. Box
2158 Yale Station; New Haven, CT 06520.
Qualified women and minority candidates are encouraged to apply. Yale
is an affirmative action/equal opportunity employer.
***********************************************************************
THE YALE ARTIFICIAL INTELLIGENCE GROUP:
The Yale artificial intelligence group consists Greg Hager (Robotics,
vision, sensor fusion), Drew McDermott (Planning, robotics, knowledge
representation), Eric Mjolsness (Neural nets, vision), Ken Yip
(engineering problem solving, artificial scientists). In addition,
there is active contact and collaboration with several other faculty
and students in the departments of computer science, electrical
engineering, psychology and the medical school. Our facilities are
growing rapidly, and currently include a Zebra Zero robot arm, Cohu
camera, Imaging Technology frame buffer, and several workstations and
software packages. The selected individual will have significant
input into further expansion of the laboratory software and hardware
environment.
------------------------------
Date: Sat, 14 Sep 1991 13:34:11 -0600
From: Bill Armstrong <arms@cs.ualberta.ca>
Subject: Atree release 2.0 adaptive logic network (ALN) simulation software
The atree release 2.0 adaptive logic network (ALN) simulation software
is available via FTP. ( Recent difficulties with our FTP software
have now been cleared up.) It is being distributed in C source form
to promote research and experimentation. Applications of ALNs include
high-speed pattern classification for computer vision and image
processing.
In dedicated ALN hardware, which is a tree of NAND gates,
classifications could be computed in 2 ns per layer (CMOS), and a
million-node tree could be evaluated in less than 40 ns. In some
cases, an inexpensive field programmable gate array would be adequate
for implementation.
ALNs are special cases of multilayer perceptrons: weights are
determined by a single bit, and the nodes compute only boolean
functions of two inputs: AND, OR, LEFT, and RIGHT, where LEFT(x,y) = x
and RIGHT(x,y) = y. After training, an equivalent tree of NAND gates
(which may have fanin > 2) can be formed for execution. The structure
leads to good generalization, since perturbations of input signals
tend to get filtered out by the binary tree.
In order to deal with integer or real-valued inputs and outputs, these
must be coded into boolean vectors, in a way which locally preserves
proximity. The software supports inputs and outputs of types boolean,
integer and (quantized) floating point using a random-walk technique.
The atree release 2.0 simulator is fast compared to simulated neural
systems performing arithmetic, due to lazy evaluation, or parsimony,
e.g. if an input to an AND gate is 0, the subtree computing the other
input doesn't have to be evaluated. On a given processor this makes
evaluation and training orders of magnitude faster, a fact which could
be important for developing a vision system on a workstation.
Moreover, as the problems get larger, the speedup factor due to lazy
evaluation gets larger too.
It has been suggested that ALNs will help in combining neural networks
with symbolic processing. For example, ALNs could be used to compute
the antecedents in a rule-based system for scene analysis.
Release 1.0 illustrated the concept of ALNs, and was successfully
tested on real applications e.g. measuring the fat content of meat
using ultrasound images ( as reported on the alnl mailing list, to
which you can subscribe by sending a note to
alnl-request@cs.ualberta.ca.)
Release 2.0 is much improved over release 1.0: memory is used very
economically, there are now separate versions for Unix and for Windows
on the PC, a new fast_tree feature doubles execution speed of a
trained tree, learned functions can be stored, etc.
The software can be obtained via anonymous ftp from
menaik.cs.ualberta.ca [129.128.4.241] in pub/atree2.tar.Z (for Unix)
or pub/atree2.zip (for Windows 3.0 on the IBM-PC and compatibles).
A document describing some results on ALNs is also available in
pub/atree2.ps.Z (but two figures are missing).
The atree software can be tested on your application using the simple
lf language. Taking some data describing inputs and outputs of your
classification task, you could follow the example of the sample
program sphere.lf (which illustrates how a spherical harmonic basis
function could be approximated). Besides describing the maximum and
minimum values of each field of your data, the number of quantization
levels it should have, the width w of the boolean vector used for
coding it, and the stepsize p of the random walk (where 4 * p < w,
say), all you have to do is make sure you choose a large enough tree
and give it enough time to learn. The simulator does the rest.
There is a paper on an image processor built along the lines of ALNs,
but which did not take advantage of lazy evaluation:
W. Armstrong and J. Gecsei, "Architecture of a Tree-based
Image Processor", 12th Asilomar Conf. on Circuits, Systems
and Computers, Pacific Grove, Calif., 1978, pp. 345-349.
Good luck with atree release 2.0! If you have questions, I'll try to
help (preferably via the alnl mailing list).
Bill Armstrong
P.S. If you don't have FTP, need disks (default) or a tape, or want
papers (published ones and some unpublished), you can get a package.
The media fee is $150 Canadian, payable to the University of Alberta.
------------------------------
Date: Fri, 13 Sep 91 21:25:13 GMT
From: cmiller@SRC.Honeywell.COM (Chris Miller)
Organization: Honeywell Systems & Research Center
Subject: cfp: Adaptive and Learning Systems (SPIE)
CALL FOR PAPERS
ADAPTIVE AND LEARNING SYSTEMS
SPIE
Orlando, FL. 20-24 April, 1992
Part of the International Society for Optical Engineering (SPIE)
International Symposium and Exhibition on Optical Engineering and
Photonics.
CONFERENCE TOPICS:
Adaptation and learning is rapidly becoming a major technology area with
diverse military and commercial applications such as industrial robotics,
machine vision, space exploration, avionic controls, medical diagnosis, and
geological exploration.
This conference will address the advances in adaptation and learning,
will investigate different technical approaches and explore how techniques
being pursued in one area can benefit the others.
RECOMMENDED PAPER TOPICS:
A focus on optical or sensing techniques, machine vision and perception,
object recognition, etc. is not required for paper submission. Emphasis on
applied systems and techniques is encouraged, but not required. Papers
addressing integration of techniques, particularly with regards to the
joint application domains of learning and sensing, are especially
encouraged.
Papers are solicited on the following and related topics:
* genetic algorithms
* explanation-based learning
* automatic algorithm design
* automated knowledge acquisition
* artificial neural networks
* inductive learning methods
* case-based techniques
* adaptive controls
* systems applications
* adaptive signal processing
* wavelet theory
CONFERENCE CHAIR: Firooz A. Sadjadi
Honeywell Systems and Research Center
3660 Technology Dr.
Minneapolis, MN 55418 USA
sadjadi@src.honeywell.com
CO-CHAIRS: Simon Haykin
Communication Research Lab.
McMaster University
1280 Main Street West
Hamilton, Ontario L854KI
Canada
Christopher A. Miller
Honeywell Systems and Research Center
3660 Technology Dr.
Minneapolis, MN 55418 USA
cmiller@src.honeywell.com
SUBMISSION OF ABSTRACTS:
Four copies of an abstract and related material (as described below) should
be submitted by October 1, 1991 to:
Orlando '92
SPIE
P.O. Box 10
Bellingham, WA 98227-0010
Telephone: (206) 676-3290
Telex: 46-7053
Telefax: (206) 647-1445
OPTO-LINK (206) 733-2998
Submissions should be limited to one page and must include the following
information:
1. Title of Abstract/Paper
2. Authors' full names and affiliations-- list authors in the order
desired for publication (i.e., principal author first).
3. Placement-- Include a sentence indicating that the paper is intended
for the Adaptive and Learning Systems conference (chair: Sadjadi) and
whether oral or poster presentation format is preferred.
4. Abstract text-- Abstracts should be brief (200 words) and typed on
white paper. Abstracts should contain enough detail to convey the
approach and the results of the research. Government and company
clearance to present and publish should be final at the time of
submittal.
5. Brief Biography-- 50 to 100 words describing the author(s)
affiliations, interests, etc.
On a separate sheet of paper, please enclose the authors' complete
addresses and telephone/telex/telefax numbers.
DATES:
Abstract due date: 1 October, 1991 (late submissions may be considered,
subject to program time availability and chair's
approval.)
Notification of acceptance: 20 December, 1991
Manuscript due date: 23 March, 1992
Conference dates: 20-24 April, 1992.
ADDITIONAL INFORMATION:
Placement-- Submissions may be placed in an oral or a poster session at the
chair's discretion.
Proceedings-- These meetings will result in published Proceedings that can
be ordered through the Advance Program. Manuscripts are
required of all accepted applicants and must be submitted in
English by 23 March 1992 on SPIE-provided paper. Copyright to
the manuscript is expected to be released for publication in
the conference Proceedings.
Paper Review-- Commercial papers, descriptions of papers with no research
content, and papers where supporting data or a technical
description cannot be given for proprietary reasons will not be
accepted for presentation in this symposium. To assure a high
quality conference, all abstracts and Proceedings papers will
be reviewed by the Conference Chairs for technical merit and
content.
Oral Presentations-- Each author is generally allowed 20 minutes plus a
five-minute discussion period. SPIE will provide the following
media equipment free of charge: 35mm carousel slide projectors,
overhead projectors, and electric pointers. Additional
equipment may be arranged by SPIE at the speaker's expense.
Author Benefits-- An author or co-author who attends the conference will
be accorded a reduced-rate registration fee, a copy of the
Proceedings in which his/her paper appears, a complimentary
one-year, non-voting membership in SPIE (if never before a
member), and other special benefits.
------------------------------
Date: Thu, 12 Sep 91 23:52 IST
From: JOSEPH VAN ZWAREN TEL 972-2-277095 <JO%ILNCRD@VMS.HUJI.AC.IL>
Subject: International Competitiveness in Advanced Optics and Imaging
SPIE-The International Society for Engineering
POB 10, Bellingham, Washington 98227-0010
1000 20th Street, Bellingham, Washington 98225
USA
Telephone (Pacific Time) 206/676-3290
Telex 46-7053
Telefax 206/647-1445
INTERNATIONAL COMPETITIVENESS IN ADVANCED OPTICS AND IMAGING
A Conference Sponsored by
SPIE-The International Society for Optical Engineering
and High Technology of Rochester, Inc.
9-10 October 1991
Stouffer Rochester Plaza Hotel
Rochester, NY
Since the 1980s, technologies of advanced optics and imaging have come to be
applied in numerous industries, from photography to medical instrumentation,
avionics to office systems, and defense industries to consumer electronics.
These technologies (sometimes referred to as photonics) can now be placed
alongside the most important technological advances of the late 20th century,
such as biotechnology and advanced microelectronics.
Industrial nations have responded in various ways to these developments in
optics and imaging. In Japan, optoelectronic products have had the highest
growth rate of any industry. In the United States, which has made massive
military and commercial investments in these technologies, incomplete evidence
suggests a less successful industrial performance. France, Germany, Taiwan,
Israel and the United Kingdom, among other nations, have achieved significant
advances.
Persons from industry, government, and academic institutions are invited to
submit papers that address issues of competitiveness in advanced optics and
imaging. Sessions will be held on some of the following topics:
* the growing economic significance of advanced optics and imaging in the
domestic and world economy
* relative performance among nations of the world and regions of the United
States in optics and imaging
* problems of data availability for tracking development in optics and imaging
and other technologies
* government policies and strategies for responding to advanced optics and
imaging in a world economy: industrial policy, competitiveness policy,
technological targeting, and industry-led policy
* education of scientists and engineers in optics and imaging: evidence on
present trends, government policies, programs of academic institutions,
recruitment of minorities and women
* US technology policy under the Bush administration
* domestic and foreign policies of research support, technological
standardization, and international research cooperation
* industrial consortia, research cooperation, and industry-university research
centers
* entrepreneurship and technological start-up businesses versus multinational
corporations in advanced optics and imaging
* export performance, export policy, and export cooperation in the US and other
nations
* military-industrial technological and educational relationships in optics and
imaging in the wake of changes in Eastern Europe
* public policies and government-industry-university cooperation with respect to
major, systematic applications of optics and imaging, such as:
= telecommunications networks
= office imaging systems
= medical imaging systems
= optoelectronic or optical computing
= applications to human disabilities
* Selected papers will be published in a Proceedings by SPIE-The International
Society for Optical Engineering (possibly in conjunction with another
publisher).
For more information on paper presentation and panels, please call or write:
Ernest Sternberg
Assistant Professor
Department of Planning and Design
University at Buffalo
State University of New York
Buffalo, NY 14214
Phone: 716/831-2133
Fax: 716/831-2297
For general meeting information, please contact SPIE at the address on the
letterhead.
SPIE SCENE
CONFERENCE ON COMPETITIVENESS SET FOR ROCHESTER THIS FALL
SPIE's conference on International Competitiveness in Advanced Optics and
Imaging will address important issues in the global advancement of cooperation
and development in optics, optoelectronics, and related fields.
The October 9-10 meeting in Rochester, New York, will be chaired by Ernest
Sternberg of the State University of New York at Buffalo.
According to chairman Ernest Sternberg (SUNY/Buffalo), the meeting comes at a
time when optics and imaging technologies are becoming critical to the
competitiveness of many economic sectors and many nations. "Optics and imaging
are coming to have revolutionary economic importance in the world," he said.
"This will grow even further when computer, communications, and imaging
applications come to be integrated at light speed."
Sternberg added that in Japan, which had one of the world's highest growth
rates in the 1980s, the technological sector with the highest growth rate was
optoelectronics.
The conference will include a plenary session entitled "Technological
Competitiveness in a Global Economy," chaired by Brian J. Thompson, Provost of
the University of Rochester. The session will include the following speakers
and topics:
* Craig Fields, Microelectronics and Computer Technology Corp.: "What is U.S.
competitiveness and how do we get it?"
* D.B. Keck, Director of Optoelectronics Research at Corning: "Fiber optics: a
communications revolution."
* Mark B. Myers, Vice President of the Corporate Research Group at Xerox:
"Corporate technologies in a global economy."
* E.P. Przybylowitz, Senior VP and Director of Research at Eastman Kodak:
"Strategic intent and architecture: keystones for international
competitiveness."
Conference Chair Ernest Sternberg will chair a session on "Tracking Advanced
Optics: Data on Where Nations Stand," followed by a session on "Comparative
National Initiatives in Optics and Imaging," chaired by Joseph van Zwaren de
Zwarenstein of the Israeli Ministry of Science and Technology. This will
include presentations from France, Taiwan, Canada, Japan, and the United
Kingdom.
Sessions on State and Local Technology Policy and Federal Policy Directions for
Advanced Optics and Imaging will examine problems and progress in various U.S.
technology programs. Rounding out the conference will be a session on new and
creative approaches to technology development: "New Technology Alliances" will
be chaired by Bruce W. Arden, University of Rochester. The final session and
discussion will focus on the Future of Optics and Imaging (chair Edward C.
McIrvine, Consultant in R&D Management), with a keynote address by David M.
Lewis of Eastman Kodak Company on "Images of the future: tomorrow's imaging
systems."
Sternberg said the competitiveness meeting represents the first time
that people from around the world and from many differeent walks of
life will meet to discuss the future of the field from the point of
view of its public importance. "Participants will have a chance to
exchange ideas on how governments are responding to advanced optics,
on the many varieties of industry-government-university cooperation,
and on strategies by which the field can best advance itself."
------------------------------
From: Stevan Harnad <harnad@Princeton.EDU>
Date: Tue, 17 Sep 91 00:30:47 EDT
Subject: Psychophysical Scaling: BBS Call for Commentators
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 that follow after the abstract.
____________________________________________________________________
PSYCHOPHYSICAL SCALING: JUDGMENTS OF ATTRIBUTES OF OBJECTS?
Gregory R. Lockhead
Department of Psychology
Duke University
Durham, NC 27706
greg@psych.duke.edu (Lockhead)
KEYWORDS: assimilation, attribute, brightness, context, Fechner,
Gestalt, integral stimuli, judgment, loudness, objects, pitch,
psychophysical scale, sequence effects, Stevens
ABSTRACT: Psychophysical scaling models of the form R = f(I), where R
is the response and I is some intensity of an attribute, all assume
that people judge amounts of an attribute. With simple biases excepted,
most also assume that judgments are independent of space, time, and
other features of the situation apart from the one being judged. Many
data support these ideas: Magnitude estimations of brightness (R) do
increase with luminance (I). Nevertheless, I conclude that the general
model is wrong. One reason, suggested by the stabilized retinal image
literature, is that nothing is seen if light does not change over
time. A reason from the classification literature is that dimensions
often combine to produce emergent properties that cannot be described
by the elements in the stimulus. Further reasons are discussed. These
various effects cannot be adjusted for by simply expanding the general
model to the form R = f(X1, X2, X3, ... , Xn) because some factors do
not combine linearly. The proposed alternative is that people initially
judge the entire stimulus -- the object in terms of its environment.
This agrees with the constancy literature, which shows that objects and
their attributes are identified in terms of their relations to other
aspects of the scene. The fact that the environment determines
judgments is masked in scaling studies, where the standard procedure is
to hold context constant. In a typical brightness study where different
lights are presented on the same background on different trials the
essential stimulus for the observer might be the intensity of the light
or a difference between the light and the background. The two are
completely confounded. This issue is examined for audition. It is shown
that judgments of the loudness of a tone depend on the amount by which
that tone differs from the previous tone in both pitch and loudness. To
judge loudness (and other attributes) it is suggested that people first
process the stimulus object (the whole or integral thing) in terms of
differences between it and other aspects in the situation, and only
then do they assess the feature of interest. The conclusion is that
psychophysical judgments will be better interpreted by theories of
attention that are based on biology or psychology than by theories that
follow Fechner's lead and are based on classical physics.
********************************
To help you decide whether you would be an appropriate commentator for
this article, a (nonfinal) draft is retrievable by anonymous ftp from
princeton.edu according to the instructions below (the filename is
bbs.lockhead). Please do not prepare a commentary on this draft. Just
let us know, after having inspected it, what relevant expertise you
feel you would bring to bear on what aspect of the article.
********************************
To retrieve a file by ftp from a Unix/Internet site,
type either:
ftp princeton.edu
or
ftp 128.112.128.1
When you are asked for your login, type:
anonymous
For your password, type your real name.
then change directories with:
cd pub/harnad
To show the available files, type:
ls
Next, retrieve the file you want with (for example):
get bbs.lockhead
When you have the file(s) you want, type:
quit
JANET users can make use of the online file transfer procedure
described by logging on to site UK.AC.NSF.SUN with password 'guestftp'
and userid 'guestftp', and making use of the help information available
on that machine. Files transferred to a personal directory on the
NSF.SUN machine in this way may then be transferred to your own machine
using normal ftp.
****************************
The above cannot be done form Bitnet directly, but there
is a fileserver called bitftp@pucc.bitnet that will do
it for you. Send it the one line message
help
for instructions (which will be similar to the above,
but will be in the form of a series of lines in an
email message that bitftp will then execute for you).
------------------------------
End of VISION-LIST digest 10.39
************************
