Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!utgpu!water!watnot!watmath!clyde!cbatt!ucbvax!ADS.ARPA!Info-Graphics-Request From: Info-Graphics-Request@ADS.ARPA.UUCP Newsgroups: mod.graphics Subject: Info-Graphics Digest Message-ID: <8703012131.AA00394@ucbvax.Berkeley.EDU> Date: Sun, 1-Mar-87 06:02:00 EST Article-I.D.: ucbvax.8703012131.AA00394 Posted: Sun Mar 1 06:02:00 1987 Date-Received: Mon, 2-Mar-87 23:35:53 EST Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: Info-Graphics@ADS.ARPA Distribution: world Organization: The ARPA Internet Lines: 1268 Approved: info-graphics@ads.arpa 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- Subject: Surface modeling program now available from SIMTEL20 Now available from SIMTEL20... Filename Type Bytes CRC Directory PD: 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 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" 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" 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" 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" 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 TOPS20.DEC.COM Digital Equipment Corporation TSC-PROJECT SRI International Telecommunications Sciences Center TSTGW.LCS.MIT.EDU Massachusetts Institute of Technology Laboratory for Computer Science Computer Systems Research Group NE43-507 TYCHO National Computer Security Center UCBARPA.BERKELEY.EDU University of California EECS Division UCBVAX.BERKELEY.EDU University of California EECS Division UCLA-CCN University of California Office of Academic Computing UDEL-GW University of Delaware Department of Electrical Engineering UMN-REI-UC University of Minnesota Research Equipment Inc. 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Institute USC-ISIE University of Southern California Information Sciences Institute USC-ISIF University of Southern California Information Sciences Institute USGS2-MULTICS U.S. Geological Survey USGS2-TAC USGS3-TAC USGS3-VMS U.S. Geological Survey Information Systems Division USNA Naval Academy VAIHINGEN-EMH Defense Communications Agency-Europe VAIHINGEN2-MIL-TAC VIABLE-RDCAA Regional Data Center VIABLE-RDCW1 Regional Data Center WHEELER-EMH Commander Defense Communications Agency Pacific Area Attn: P325 WHEELER-MIL-TAC WHITEOAK-MIL-TAC WP-EDS Headquarters Air Force Logistics Command Logistics Management Systems Center/SHE WPAFB-AFWAL Air Force Wright Aeronautical Laboratories AFWAL/AAAF-1 WPAFB-AFWP1 AFWAL/GLITO WPAFB-AMS1 ASD/SILA WPAFB-FDL Air Force Wright Aeronautical Laboratories AFWAL/FITC WPAFB-GW LMSC/SYC WPAFB-INFO1 Aeronautical Systems Division ASD/SII WPAFB-INFO2 Aeronautical Systems Division ASD/SII WPAFB-INFO3 Aeronautical Systems Division ASD/SII WPAFB-INFO4 Aeronautical Systems Division ASD/SII WPAFB-JALCF ASD/SIOL WPAFB-SEVAX ASD/SIOL WPAFB-TAC WPAFB2-MIL-TAC WSMR-NET-GW (csteffey@WSMR) WSMR-TAC YUMA-GW Commander Army Yuma Proving Ground YUMA-TAC ZAMA-EMH U.S. Army Information Systems Command-Japan Consolidated Data Processing Center ZAMA-MIL-TAC ------------------------------ Date: 27 Feb 87 15:21 PST From: William Daul / McDonnell-Douglas / APD-ASD 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 , Postmaster , 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 ********************