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Started by Info-Graphics-Request
Sun, 01 Mar 1987 11:02
Info-Graphics Digest
Author: Info-Graphics-Request
Date: Sun, 01 Mar 1987 11:02
Date: Sun, 01 Mar 1987 11:02
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60349 bytes
Info-Graphics Digest Sun Mar 1 03:02:01 PST 1987
- Send submissions to Info-Graphics@ADS.ARPA
- Send requests for list membership to Info-Graphics-Request@ADS.ARPA
Today's Topics:
Re: Info-Graphics Digest
Utah Raster Toolkit Release
What makes a graphics workstation so great for graphics?
Surface modeling program now available from SIMTEL20
Graphics Info Pointers Needed
Lecture 2-Mar at IBM (near San Jose): COLOR IN A GENERAL VISION SYSTEM
----------------------------------------------------------------------
Subject: Re: Info-Graphics Digest
<8702241433.AA06216@utah-gr.ARPA>
Date: Tue, 24 Feb 87 10:32:19 -0700
From: thomas%spline@utah-cs.arpa
The way I make a 16x16 dither matrix is to start with a 4x4 and
"square" it. Here is some code. The numbers are specific to doing 6
level color dithering (to get full color from an 8 bit display).
/*
* Basic magic square for dithering. Used to generate 16x16 & 4x4
* dither matrices.
*/
int magic[4][4] = {
0, 14, 3, 13,
11, 5, 8, 6,
12, 2, 15, 1,
7, 9, 4, 10
};
/*
* 16x16 dither matrix, computed from magic square in init_color.
*/
int dm16[16][16];
/*
* Expand 4x4 magic square to 16x16. 4x4 leaves obvious patterning, and
* doesn't give us full intensity range (only 17 sublevels, we want at
* least 51). Note that 8x8 would be sufficient, but 16x16 is easier to
* build.
*
* magicfact is 49/16 so that we get numbers in the matrix from 0 to
* 49: mod 51 gives numbers in 0 to 50, we want some chance that the
* number is greater than a matrix entry, so the highest matrix
* entry must be 49.
*/
magicfact = 49./ 16.;
for (i = 0; i < 4; i++)
for (j = 0; j < 4; j++)
for (k = 0; k < 4; k++)
for (l = 0; l < 4; l++)
dm16[4 * k + i][4 * l + j] = (int) (0.5 + magic[i][j] * magicfact
+ (magic[k][l] / 16.) * magicfact);
--
=Spencer ({ihnp4,decvax}!utah-cs!thomas, thomas@utah-cs.ARPA)
------------------------------
Date: Tue, 24 Feb 87 18:43:02 MST
From: peterson@utah-cs.ARPA (John W Peterson)
Subject: Utah Raster Toolkit Release
A few months ago there was quite a bit of discussion about image raster image
formats and compression on comp.graphics. A couple of weeks ago Spencer
hinted that we would be releasing the Utah Raster Toolkit, which helps solve
many of these problems. Here's the complete announcement.
Cheers,
jp
-------------------------------------------------------------------------------
THE UTAH RASTER TOOLKIT
The Utah Raster toolkit is a collection of programs and C routines for
dealing with raster images commonly encountered in computer graphics. It
provides the following major functions:
* A device and system independent image format for storing images
and information about them. Called the RLE format, it uses
run length encoding to reduce storage space for most images.
* A library of C routines for reading, writing and manipulating
images stored in the RLE format.
* A collections of programs for manipulating and displaying RLE
images.
The Format:
The device independent RLE file has two parts, the header, which stores
information about the image (size, position, channel information,
color maps, comments, etc), and the actual image data in a run length
encoded format. The RLE format often requires about a third of the
available space for most "image synthesis" style images. If the image
does not compress well, the RLE format stores it as straight pixel data
with little extra overhead. The format has been developed over the past
five years at Utah.
The Library:
C routines are provided for setting up and reading the image header,
and for reading and writing the image a scanline at a time. Images can
be read or written using two different methods. Using the "row" method,
the library performs the RLE encoding and decoding. With the "raw" method,
scanlines are constructed directly with RLE opcodes. Additional routines
are available for generating dither matrices (e.g., for display programs
running on devices with less than 24 bits of color).
The Tools:
comp - Digital image compositor. Provides the operations over, atop,
in, out, xor, plus, minus and diff on two images.
crop - Crop an image
repos - Change the position in the RLE header
avg4 - Downfilter an image by 1/4, generating a matte channel if one
didn't previously exist.
fant - Rotate and/or scale in image by an arbitrary (float) value.
smush - Perform a simple Gaussian filter on an image
rlehdr - Dump the contents of the RLE header in human readable form
rlesetbg - Set the background color stored in the RLE header
rleaddcom - Add a comment to the RLE file's header
rleswap - Swap, copy or delete channels in an RLE file
rlebg - Generate a solid or variable background
rleflip - Rotate an image by 90/180 degree increments
rleldmap - Load a color map into an RLE file from a variety of sources
applymap - Apply color map values to pixel values
rlesetbg - Set the background color in the RLE header
painttorle - Convert MacPaint files to RLE format.
rletopaint - Convert RLE files to MacPaint
rletops - Convert an RLE image to PostScript (graylevel)
to8 - Convert a 24 bit RGB image to an eight bit dithered one
tobw - Convert 24 bits to 8 bits black and white
Display programs are provided for:
getap - Apollo workstation...
getbob - HP Series 300 ("bobocat") running Windows 9000
getcx3d - Chromatics CX1500 display
getfb - BRL "libfb" displays
getgmr - Grinnell GMR-27 (remember those?)
getX - Workstations running the X window system
getmex - Iris running Mex
getiris - Iris in raw 24 bit mode.
- [Note display programs for a particular device are
simple to add]
All the tools are designed to pipe together, so they can be used as
filters on images much like the standard Unix tools filter text.
Plus:
The raster toolkit also includes Unix man pages for the library and
commands, some sample images, and additional documentation.
System Requirements:
We have successfully ported the Raster Toolkit to a number of Unix
systems, including 4.2/4.3bsd (Vax, Sun, etc), Apollo Domain/IX, HP
Series 3000, SGI Iris, Gould UTX. Display programs are included for
several devices. Creating display programs for additional devices is
a straightforward task.
Distribution:
For ARPAnet sites, the toolkit may be obtained via anonymous FTP to the
site utah-cs, in the file pub/toolkit.tar. Sites not on the ARPAnet can
obtain the Raster Toolkit on a 9-track, 1600 bpi tar format tape by
sending check or money order for $200.00, payable to the Department of
Computer Science, to:
Attn: Utah Raster Toolkit, Loretta Cruse
Department of Computer Science
University of Utah
Salt Lake City, UT, 84112
Courtesy Mike Muuss at BRL, the Raster Toolkit is also included as
contributed software in the BRL-CAD distribution.
Although the Raster Toolkit software is copyrighted, it may be freely
re-distributed on a "GNU-like" basis.
For further technical information on the Raster Toolkit, send mail
to:
toolkit@cs.utah.edu (ARPA)
{ihnp4,decvax}!utah-cs!toolkit (UUCP)
------------------------------
Date: Tue, 24 Feb 87 23:11:17 EST
From: phrivax!allegra!phri!phrivax.phri!roy@ucbvax.Berkeley.EDU (Roy Smith)
Subject: What makes a graphics workstation so great for graphics?
I'm a relative novice at this sort of stuff, so forgive what may
sound like a hopelessly naive question. We've been looking for software to
do molecular graphics on our Sun-3/160C (with the FPA, graphics processor
and graphics buffer boards). What we are finding out, however, is that all
the best software only runs on workstations like the Iris or some flavor of
an E&S. Never having used either of these latter two machines, I don't
understand what it is about them that makes them so much better than the
Sun for this type of stuff. Is it simply a matter of not enough MIPS
and/or MFLOPS (a problem which could, at least in part, be solved by
upgrading to a 260), or is there something more fundemental about these
machines that makes them so much better than the Sun?
Roy Smith, {allegra,cmcl2,philabs}!phri!roy
System Administrator, Public Health Research Institute
455 First Avenue, New York, NY 10016
"you can't spell deoxyribonucleic without unix!"
------------------------------
Date: Wed, 25 Feb 87 8:28:28 EST
From: Kenneth Van Camp -FSAC- <kvancamp@ARDEC.ARPA>
Subject: Surface modeling program now available from SIMTEL20
Now available from SIMTEL20...
Filename Type Bytes CRC
Directory PD:<MSDOS.SURFMODL>
SURFMODL.ARC.1 BINARY 117534 F904H
SURFMODL is a general-purpose surface modeling program for the IBM PC
written in Turbo Pascal. Surface modeling is the science of producing
realistic three-dimensional images on a computer display. This
capability has existed on large mainframe and minicomputer
workstations for many years. Only recently has it migrated to smaller
computers, and the IBM PC is no exception. I wrote SURFMODL on a
Sanyo MBC-550, but it also runs on the IBM PC and most compatibles.
At this time, the only display board supported on the IBM is the Color
Graphics Adapter (CGA) and compatibles. Hercules and EGA compatibles
will not work with SURFMODL. It requires only 256K RAM, runs
amazingly fast, and is a general-purpose surface modeler. It creates
displays of three-dimensional wire frame images, it removes hidden
lines, and it performs surface modeling. Since it is a generalized
program, it can be used to view any object from any angle, with single
or multiple light sources. It is accompanied by PREPROC, a
general-purpose preprocessor.
[Late Note: I have ordered the Graphix Toolbox and plan to support the
Hercules and EGA boards in the next release. -kvc ]
When used in conjunction with a finite element preprocessor, a
special-purpose function generation routine, or PREPROC (the SURFMODL
preprocessor), SURFMODL is a complete surface modeling system, capable
of constructing models of any variety of objects of virtually
unlimited complexity.
Source files for SURFMODL are not being released to the public domain
at this time, but the executable files and sample data files are.
Source for the preprocessor is available on request.
--Ken Van Camp <kvancamp@ARDEC.ARPA>
Army Armament Research Development & Engineering Center
SMCAR-FSA-E Building 329
Dover, NJ 07801-5001
(201)724-3334 (AV)880-3334
------------------------------
Date: Thu, 26 Feb 87 11:42:53 CST
From: "Kent Ziebell" <GG.KAZ%ISUMVS.BITNET@wiscvm.wisc.edu>
The Iowa State University Computation Center recently
purchased Integrated Software Systems Corporation's (ISSCO) device
driver for the Matrix QCC/QCR slide camera,
to be used with the
ISSCO DISSPLA and Tell-A-Graf software packages. In the past we
have used a driver written by Decision Resource Corporation that
was acquired as a part of our original camera purchase from Matrix.
That dr,
iver.is.no.longer.supported.-.the.reason.that.we.decided.to.obtain.ISSCO's.driver.However@ads,
ISSCO's.device.driver.has.three.problems.compared.to.Decision.Resource's.The.first.problem@ads.,
which.involves.esthetics@ads.ARPA,
is.that.the.ISSCO.driver.fills.the.background.color.only.within.the.Tell-A-Graf.frame@ads.ARPA,
leaving.a.black.border.around.the.slides.ISSCO.has.suggested.that.we.switch.to.a.different.,
which.in.essence.leaves.a.smaller.hole.Our.Photo.Service.department.says.that.there.is.a.,
and that the vendor that processes the university slide would not
be willing to use special mountings for our slides.
Problem number two is that ISSCO's driver takes 30-50% more
CPU time to generate a slide than does Decisi,
Resource's.Also.it.seems.to.take.longer.for.the.QCC.to.rasterize.the.information.We.have.not,
but the
throughput for the camera seems to impeded.
Problem number three is that the ISSCO driver requires more
memory on the MATRIX QCC rasterizing control unit than does the
Decision Resource driver. We have had several sl,
ides.that.were.generated.by.ISSCO's.driver.run.out.of.memory@ads.ARPA,
the.same.slides.did.not.when.generated.by.Decision.Resource's.driver.In.the.three.years.that.,
we
recall only one slide that exceeded the memory on the QCC.
Is there anybody else out there using ISSCO's LASERQ device
driver for the MATRIX QCC/QCR camera? I would appreciate hearing
your feelings about how this softwa,
is.performing.in.your.environment.There.would.be.merit.in.groups.of.users.requesting.improvements,
Kent.A.Ziebell.GG.KAZ%ISUMVS.BITNET@WISCVM.ARPA
------------------------------
Date: Fri, 27 Feb 87 15:27:01 CST
From: "Kent Ziebell" <GG.KAZ%ISUMVS.BITNET@wiscvm.wisc.edu>
The Iowa State University Computation Center recently
purchased Integrated Software Systems Corporation's (ISSCO) device
driver for the Matrix QCC/QCR slide camera,
to be used with the
ISSCO DISSPLA and Tell-A-Graf software packages. In the past we
have used a driver written by Decision Resource Corporation that
was acquired as a part of our original camera purchase from Matrix.
That dr,
iver.is.no.longer.supported.-.the.reason.that.we.decided.to.obtain.ISSCO's.driver.However@ads,
ISSCO's.device.driver.has.three.problems.compared.to.Decision.Resource's.The.first.problem@ads.,
which.involves.esthetics@ads.ARPA,
is.that.the.ISSCO.driver.fills.the.background.color.only.within.the.Tell-A-Graf.frame@ads.ARPA,
leaving.a.black.border.around.the.slides.ISSCO.has.suggested.that.we.switch.to.a.different.,
which.in.essence.leaves.a.smaller.hole.Our.Photo.Service.department.says.that.there.is.a.,
and that the vendor that processes the university slide would not
be willing to use special mountings for our slides.
Problem number two is that ISSCO's driver takes 30-50% more
CPU time to generate a slide than does Decisi,
Resource's.Also.it.seems.to.take.longer.for.the.QCC.to.rasterize.the.information.We.have.not,
but the
throughput for the camera seems to impeded.
Problem number three is that the ISSCO driver requires more
memory on the MATRIX QCC rasterizing control unit than does the
Decision Resource driver. We have had several sl,
ides.that.were.generated.by.ISSCO's.driver.run.out.of.memory@ads.ARPA,
the.same.slides.did.not.when.generated.by.Decision.Resource's.driver.In.the.three.years.that.,
we
recall only one slide that exceeded the memory on the QCC.
Is there anybody else out there using ISSCO's LASERQ device
driver for the MATRIX QCC/QCR camera? I would appreciate hearing
your feelings about how this softwa,
is.performing.in.your.environment.There.would.be.merit.in.groups.of.users.requesting.improvements,
Kent.A.Ziebell.GG.KAZ%ISUMVS.BITNET@WISCVM.ARPA
------------------------------
Date: Fri, 27 Feb 87 15:49:28 CST
From: "Kent Ziebell" <GG.KAZ%ISUMVS.BITNET@wiscvm.wisc.edu>
The Iowa State University Computation Center recently
purchased Integrated Software Systems Corporation's (ISSCO) device
driver for the Matrix QCC/QCR slide camera,
to be used with the
ISSCO DISSPLA and Tell-A-Graf software packages. In the past we
have used a driver written by Decision Resource Corporation that
was acquired as a part of our original camera purchase from Matrix.
That dr,
iver.is.no.longer.supported.-.the.reason.that.we.decided.to.obtain.ISSCO's.driver.However@ads,
ISSCO's.device.driver.has.three.problems.compared.to.Decision.Resource's.The.first.problem@ads.,
which.involves.esthetics@ads.ARPA,
is.that.the.ISSCO.driver.fills.the.background.color.only.within.the.Tell-A-Graf.frame@ads.ARPA,
leaving.a.black.border.around.the.slides.ISSCO.has.suggested.that.we.switch.to.a.different.,
which.in.essence.leaves.a.smaller.hole.Our.Photo.Service.department.says.that.there.is.a.,
and that the vendor that processes the university slide would not
be willing to use special mountings for our slides.
Problem number two is that ISSCO's driver takes 30-50% more
CPU time to generate a slide than does Decisi,
Resource's.Also.it.seems.to.take.longer.for.the.QCC.to.rasterize.the.information.We.have.not,
but the
throughput for the camera seems to impeded.
Problem number three is that the ISSCO driver requires more
memory on the MATRIX QCC rasterizing control unit than does the
Decision Resource driver. We have had several sl,
ides.that.were.generated.by.ISSCO's.driver.run.out.of.memory@ads.ARPA,
the.same.slides.did.not.when.generated.by.Decision.Resource's.driver.In.the.three.years.that.,
we
recall only one slide that exceeded the memory on the QCC.
Is there anybody else out there using ISSCO's LASERQ device
driver for the MATRIX QCC/QCR camera? I would appreciate hearing
your feelings about how this softwa,
is.performing.in.your.environment.There.would.be.merit.in.groups.of.users.requesting.improvements,
Kent.A.Ziebell.GG.KAZ%ISUMVS.BITNET@WISCVM.ARPA
------------------------------
Date: Fri, 27 Feb 87 16:05:42 CST
From: "Kent Ziebell" <GG.KAZ%ISUMVS.BITNET@wiscvm.wisc.edu>
Dan,
I case you are interested, this is a current list of ARPA net sites
that I obtained from NICSERVE. You may do with it what you desire.
Kent Ziebell
15:42:25 02/27/87 FROM NICSERVE@BITNIC.BITNET: ARPANET SITES
DDN INTERNET (ARPANET/MILNET/MINET) SITES LIST
This table is derived from the offical DDN Liaison Lists supplied by
the DDN Network Information Center for the Defense Data Network of the
Defense Communications Agency. The Internet hosts listed are members
of the Advanced Research Projects Agency Network (ARPANET), the
Military Network (MILNET) and the Movements Information Network
(MINET).
ARPANET HOSTS AS OF 12-Mar-86
----------------------------
A-LHI-BBN-01 BBN Communications Corporation
A-LHI-COL-02 Rockwell International Collins Defense Communications
A-LHI-SRI-03 SRI International Network Information Center
A.CS.CMU.EDU Carnegie-Mellon University Computer Science Department
Schenley Park
A.CS.UIUC.EDU University of Illinois
ACC-SB-UNIX Advanced Computer Communications (ACC)
ADA-VAX University of Southern California
Information Sciences Institute
AI-GW.AI.MIT.EDU Massachusetts Institute of Technology
Laboratory for Computer Science
Computer Systems Research Group NE43-507
AI.AI.MIT.EDU Massachusetts Institute of Technology Artificial Intelligence
Laboratory
AIDS-UNIX Advanced Information & Decision Systems
ARPA-MILNET-GW Defense Advanced Research Projects Agency
Management Information Services Division
ARPA3-TAC
ARPANET-MC BBN Communications Corporation
ASC.PURDUE.EDU Purdue University Computing Center
Mathematical Sciences Building
ATS.UCLA.EDU University of California Computer Science Department
BBN-ARPA-TAC
BBN-CLXX Bolt Beranek and Newman Inc.
BBN-CRONUS-GW Bolt Beranek and Newman Inc.
BBN-FIBERA-GW Bolt Beranek and Newman Inc.
BBN-MILNET-GW BBN Communications Corporation
BBN-NET-GATEWAY BBN Communications Corporation
BBN-PR-GW Bolt Beranek and Newman Inc.
BBN-PR-STATION-1 Bolt Beranek and Newman Inc.
BBN-PSAT-IG
BBN-TEST0-GW
BBN-UNIX Bolt Beranek and Newman Inc.
BBN-VAN-GW BBN Communications Corporation
BBN-VAX Bolt Beranek and Newman Inc.
BBN-X25-GW BBN Communications Corporation
BBN-X25-GW BBN Communications Corporation
BBN-X25-TEST3 BBN Communications Corporation
BBN-X25-TEST4 BBN Communications Corporation
BBNA Bolt Beranek and Newman Inc.
BBNNET2-ARPANET-GW BBN Communications Corporation
BF-GW.LCS.MIT.EDU Massachusetts Institute of Technology
Laboratory for Computer Science
BRAGG-ARPA-TAC
BRAGG-PR-GW1 SRI Field Office Army/DARPA Distributed
Communications/Processing Experiment (ADDCOMPE)
BRAGG-PR-GW2 SRI Field Office
BRAGG-STA1 SRI Field Office Army/DARPA Distributed
Communications/Processing Experiment (ADDCOMPE)
C.CS.CMU.EDU Carnegie-Mellon University Computer Science Department
Schenley Park
CCA-ARP-TAC
CCA-PLI Computer Corporation of America Four Cambridge Center
CCA-UNIX Computer Corporation of America Four Cambridge Center
CCA-VMS Computer Corporation of America Four Cambridge Center
CISL-SERVICE-MULTICS Honeywell Information Systems
CIT-20.CALTECH.EDU California Institute of Technology
CIT-CS-GW California Institute of Technology
CMU-GATEWAY Carnegie-Mellon University Computer Science Department
Schenley Park
COLLINS-GW Rockwell International Collins Defense Communications
COLLINS-PR Rockwell International Collins Defense Communications
COLLINS-TAC
COLUMBIA-GW Columbia University Department of Computer Science
COLUMBIA.EDU Columbia University Department of Computer Science
CORNELL-GW Cornell University Computer Science Department
CRC-GW Defense Research Establishment--Ottawa
Communications Research Center Shirley Bay
CS.COLUMBIA.EDU Columbia University Department of Computer Science
CSNET-PDN-GW Bolt Beranek and Newman Inc.
CSNET-RELAY Bolt Beranek and Newman Inc.
CSNET-SH Bolt Beranek and Newman Inc.
CSS-GATEWAY Center for Seismic Studies
CSS-RING-GW Center for Seismic Studies
CSVAX.CALTECH.EDU California Institute of Technology
CU-ARPA.CS.CORNELL.EDU Cornell University Computer Science Department
DCEC-ARPA-TAC
DCEC-GATEWAY Defense Communications Engineering Center Code R640
DCEC-MILNET-GW BBN Communications Corporation
DCEC-PSAT Defense Communications Engineering Center Code R630
DCEC-PSAT-IG Bolt Beranek and Newman Inc.
DCN-GATEWAY M/A-COM Linkabit, Inc.
DCN1 M/A-COM Linkabit, Inc.
DEC-MR-GW Digital Equipment Corporation
EDN-UNIX Defense Communications Engineering Center Code R640
FSNAP-GW Ford Aerospace and Communications Corporation
FSNAP-GW Ford Aerospace and Communications Corporation
GODOT.THINK.COM Thinking Machines Corporation
GW.LCS.MIT.EDU Massachusetts Institute of Technology
Laboratory for Computer Science
Computer Systems Research Group NE43-507
HARVARD-GW Harvard University Aiken Computation Laboratory
HARVARD.HARVARD.EDU Harvard University
HAZELTINE-GW Hazeltine Corporation
HI-MULTICS Honeywell, Inc. Honeywell Plaza MN26-2187
HUDSON.DEC.COM Digital Equipment Corporation HL02-2/B06
HUEY.UDEL.EDU University of Delaware Department of Electrical Engineering
IPTO-GW Defense Advanced Research Projects Agency
Management Information Services Division
ISI-GATEWAY University of Southern California
Information Sciences Institute
ISI-HOBGOBLIN University of Southern California
Information Sciences Institute
ISI-MCON-GW University of Southern California
Information Sciences Institute
ISI-MILNET-GW BBN Communications Corporation
ISI-PNG11 University of Southern California
Information Sciences Institute
ISI-PSAT-IG University of Southern California
Information Sciences Institute
ISI-VAXA University of Southern California
Information Sciences Institute
JPL-VLSI Jet Propulsion Laboratory
KESTREL Kestrel Institute
LBL-MILNET-GW BBN Communications Corporation
LL Massachusetts Institute of Technology Lincoln Laboratory
LL-EN Massachusettes Institute of Technology Lincoln Laboratory
Speech Systems Technology Group Room B-331
LL-GW Massachusetts Institute of Technology Lincoln Laboratory
Speech Systems Technology Group Room B-121
LL-PSAT-IG Bolt Beranek and Newman Inc.
LL-SST Massachusettes Institute of Technology Lincoln Laboratory
Speech Systems Technology Group Room B-331
LL-VLSI Massachusettes Institute of Technology Lincoln Laboratory
Speech Systems Technology Group Room B-331
LL-XN Massachusetts Institute of Technology Lincoln Laboratory
Machine Intelligence Technology Group Room J-105
LOCUS.UCLA.EDU University of California Computer Science Department
LOUIE-GW The MITRE Corporation
LOUIE.UDEL.EDU University of Delaware Department of Electrical Engineering
MADISON.WISC.EDU MACC
MARLBORO.DEC.COM Digital Equipment Corporation
MC.LCS.MIT.EDU Massachusetts Institute of Technology Artificial Intelligence
Laboratory
MCC Microelectronics and Computer Technology Corporation
MICA-ALEPH-GW The MITRE Corporation
MICA-BETH-GW The MITRE Corporation
MICA-DALETH-GW The MITRE Corporation
MICA-GIMEL-GW The MITRE Corporation
MIT-DEBUGOZ Massachusetts Institute of Technology Artificial Intelligence
Laboratory
MIT-MULTICS Massachusetts Institute of Technology Room W91-219C
MIT-TAC
MITRE-GATEWAY The MITRE Corporation
MITRE-LAN.MITRE.ORG The MITRE Corporation
NGP.UTEXAS.EDU University of Texas Computation Center
PARCVAX.XEROX.COM Xerox Corporation Computer Science Laboratory
PLI-RADC2 Rome Air Development Center Command and Control Systems
Technology Branch (COT)
PURDUE-CS-GW Purdue University Department of Computer Sciences
PURDUE-X25 Purdue University Department of Computer Science
R20.UTEXAS.EDU University of Texas Computation Center
RADC-ARPA-TAC
RADC-PSAT-IG Rome Air Development Center Telecommunications - Digital
Section (DCLD)
RADC-TOPS20 Rome Air Development Center Command and Control Systems
Technology Branch (COT)
RAND-ARPA-TAC
RAND-UNIX The Rand Corporation
ROCHESTER University of Rochester Computer Science Department
ROCKEFELLER Rockefeller University Computing Services
RUTGERS-GW Rutgers University Center for Computer and
Information Services
SAC-ARPA-TAC
SAC-ETHER-GW SRI International Field Office
SAC-GATEWAY SRI International
SAC-GW-2 SRI International Field Office
SAC-MILNET-GW BBN Communications Corporation
SAC-RPGW-1 SRI International Field Office
SAC-RPGW-2 SRI International Field Office
SAC-RPVAX SRI International Field Office
SAC-STATION SRI International Field Office
SAC-VAX SRI International Field Office
SALLY.UTEXAS.EDU The University of Texas at Austin
Department of Computer Sciences
SEISMO.CSS.GOV Center for Seismic Studies
SRI-AI Stanford University Computer Science Department
SRI-C3ETHER-GW SRI International Telecommunications Sciences Center
SRI-CSL-GW SRI International Computer Science Laboratory
SRI-GW Stanford University Computer Science Department
SRI-IU SRI International Artificial Intelligence Center
SRI-KL SRI International Computer Resources
SRI-MCON-GW SRI International Telecommunications Sciences Center
SRI-MILNET-GW BBN Communications Corporation
SRI-NIC SRI International Network Information Center
SRI-PR-GW3 SRI International Telecommunications Sciences Center
SRI-PRM-GW SRI International Telecommunications Sciences Center
SRI-PRMH SRI International Telecommunications Sciences Center
SRI-PSAT-IG Bolt Beranek and Newman Inc.
SRI-RPGW-1 SRI International Advanced Information-Technology
Applications Center EJ325
SRI-RPGW-2 SRI International Advanced Information-Technology
Applications Center
SRI-SPAM-TEST SRI International Advanced Information-Technology
Applications Center EK396
SRI-SPRM SRI International EJ320
SRI-STATION SRI International Telecommunications Sciences Center
SRI-TSC SRI International Telecommunications Sciences Center
STANFORD-GATEWAY Stanford University Computer Science Department
Margaret Jacks Hall
SU-AI Stanford University Computer Science Department
Margaret Jacks Hall
SU-SCORE Stanford University Computer Science Department
SU-SIERRA Stanford University Electrical Engineering Department
SU-TAC
SUMEX-AIM Stanford University Medical Center
TEST-HOST5-X25 BBN Communications Corporation
TEST.UCLA.EDU University of California Computer Science Department
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ZAMA-MIL-TAC
------------------------------
Date: 27 Feb 87 15:21 PST
From: William Daul / McDonnell-Douglas / APD-ASD <WBD.MDC@OFFICE-1.ARPA>
Subject: Graphics Info Pointers Needed
Could you help me obtain information the following subjects? Electronic media
is preferable, but anything would be appreciated...names or addresses. This is
a request for very general information to start with. I would appreciate any
leads you can supply and/or could you forward this message to the appropriate
people if it is beyond your realm.
ANSI Computer Graphics Interface (CGI)
ANSI Computer Graphics Metafile (CGM) format
ISO - Graphical Kernel System (GKS)
//Signed//
WILLIAM B. DAUL
Systems Analyst <wbd.mdc@office-1.arpa>,
Postmaster <postmaster@office-1.arpa>,
Phone: 408-446-6955
Augmentation Systems Division,
McDonnell Douglas Computer Systems Company,
20705 Valley Green Drive
Cupertino, CA. 95014
27-Feb-87
------------------------------
Date: Fri, 27 Feb 87 17:46:09 PST
From: andy@hobbes (Andy Cromarty)
Subject: Lecture 2-Mar at IBM (near San Jose): COLOR IN A GENERAL VISION SYSTEM
The following lecture will be given at IBM's Almaden Research Center
(just south of San Jose, California), for those interested and able
to attend.
THE ROLE AND USE OF COLOR IN A GENERAL VISION SYSTEM
G. Healey, Stanford University, Stanford, California
Comp. Sci. Sem. Fri., March 6 2:00 P.M. Room: B2-307
We show that an intelligent approach to color can be used to
significantly improve the capabilities of a vision system. This talk
is divided into three parts. In part I, we adopt general physical
models for the properties of objects which determine how they interact
with light. These models are far more general than those typically
used in computer vision. From these models we derive generic
properties relating color, geometry, and image irradiance. In part
II, we discuss the recovery and representation of color. We show how
to recover physical color from images captured using different
sensors. A metric space for colors is introduced and its significant
properties are described. Within this general framework for color, we
discuss the advantages of the specific representation employed by our
system. In part III, we use our physical models to derive powerful
algorithms for extracting invariant properties of objects from images.
The first algorithm is used for the generic classification of objects
according to material. The second algorithm provides a solution to
the color constancy problem. These algorithms have been implemented
and consistently produce correct results on real images. Some
examples of experimental results are presented.
Host: J. Sanz
(For further information on this talk, please contact the host
listed above.)
Visitors, please arrive 15 minutes early. IBM's new Almaden Research
Center (ARC) is located adjacent to Santa Teresa County Park, between
Almaden Expressway and U.S. 101, about 10 miles south of Interstate
280. From U.S. 101, exit at Bernal Road, and follow Bernal Road west
past Santa Teresa Blvd. into the hills (ignoring the left turn for
Santa Teresa Park). Alternatively, follow Almaden Expressway to its
southern terminus, turn left onto Harry Road, then go right at the ARC
entrance (about a quarter of a mile later) and go up the hill. For
more detailed directions, please phone the ARC receptionist at (408)
927-1080.
------------------------------
End of INFO-GRAPHICS
********************
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