Path: utzoo!utgpu!water!watmath!clyde!att!rutgers!ucsd!ucbvax!ADS.COM!Vision-List-Request From: Vision-List-Request@ADS.COM (Vision-List moderator Phil Kahn) Newsgroups: comp.ai.vision Subject: Vision-List delayed redistribution Message-ID: <8808011936.AA05665@deimos.ads.com> Date: 1 Aug 88 20:31:07 GMT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: Vision-List@ADS.COM Distribution: inet Organization: The Internet Lines: 412 Approved: vision-list@ads.com Vision-List Digest Mon Aug 1 12:31:07 PDT 1988 - Send submissions to Vision-List@ADS.COM - Send requests for list membership to Vision-List-Request@ADS.COM Today's Topics: -- Thesis defense: Bayesian Modeling of Uncertainty in Low-Level Vision -- Automated supernova search people need advice -- Workstation Questions -- NETWORK COMPUTING FORUM - CALL FOR PAPERS -- FIRST ANNUAL MEETING OF THE INTERNATIONAL NEURAL NETWORK SOCIETY -- Public Domain Sun Image Processing Software -- multidisciplinary conference on VISION, PROCESSING, and DISPLAY ---------------------------------------------------------------------- Date: Mon, 18 Jul 1988 09:34-EDT From: Richard.Szeliski@IUS2.CS.CMU.EDU Subject: Thesis defense: Bayesian Modeling of Uncertainty in Low-Level Vision Bayesian Modeling of Uncertainty in Low-Level Vision [ Thesis defense ] Richard Szeliski Computer Science Department Carnegie Mellon University July 28, 1:00pm, WeH 5409 ABSTRACT Over the last decade, many low-level vision algorithms have been devised for extracting depth from one or more intensity images. The output of such algorithms usually contains no indication of the uncertainty associated with the scene reconstruction. In other areas of computer vision and robotics, the need for such error modeling is becoming recognized, both because of the uncertainty inherent in sensing, and because of the desire to integrate information from different sensors or viewpoints. In this thesis, we develop a new Bayesian model for the dense fields such as depth maps or optic flow maps that are commonly used in low-level vision. The Bayesian model consists of three components: a prior model, a sensor model, and a posterior model. The prior model captures any a priori information about the structure of the dense field. We construct this model by using the smoothness constraints from regularization to define a Markov Random Field. By applying Fourier analysis to this prior model, we show that the class of functions being modeled is fractal. The sensor model describes the behaviour and noise characteristics of our measurement system. We develop a number of sensor models for both sparse depth measurements and dense flow or intensity measurements. The posterior model combines the information from the prior and sensor models using Bayes' Rule, and can be used as the input to later stages of processing. We show how to compute optimal estimates from the posterior model, and also how to compute the uncertainty (variance) in these estimates. This thesis applies Bayesian modeling to a number of low-level vision problems. The main application is the on-line extraction of depth from motion. For this application, we use a two-dimensional generalization of the Kalman filter to convert the current posterior model into a prior model for the next estimate. The resulting incremental algorithm provides a dense on-line estimate of depth whose uncertainty and error are reduced over time. In other applications of Bayesian modeling, we use the Bayesian interpretation of regularization to choose the optimal smoothing parameter for interpolation; we use a Bayesian model to determine observer motion from sparse depth measurements without correspondence; and we use the fractal nature of the prior model to construct multiresolution relative surface representations. The approach to uncertainty modeling which we develop, and the utility of this approach in various applications, support our thesis that Bayesian modeling is a useful and practical framework for low-level vision. ------------------------------ Date: Fri, 29 Jul 88 07:46:22 PDT From: John B. Nagle Subject: Automated supernova search people need advice This is forwarded from USENET; please reply to "beard@uxl.lbl.gov", not me. >From: beard@ux1.lbl.gov (Patrick C Beard) Subject: Workstation Questions Date: 28 Jul 88 23:41:21 GMT Distribution: comp.sys.workstations,comp.edu,comp.graphics,comp.os.vms Organization: Lawrence Berkeley Laboratory, Berkeley Summary: Questions about available workstations, accelerating mVax Hello everybody. My group is conducting an automated search for supernovae and is in the market for upgrading the computer that is the heart of the system. We require a system that outperforms our current computer, a Microvax, by at least a factor of 4, and hopefully a factor of 10. I am submitting this message to the network community to ask three questions: 1) What machines are there in the workstation type class that can outperform a Microvax by a factor of 4 to 10 times? (Please describe briefly, cost, speed, manufacturer.) 2) Alternatively, what options exist for speeding up a Microvax? Are there accelerator boards, processor upgrades, anything you can think of? 3) What image processing systems are available? Commercial or public domain, source code included, optimized for what hardware, and how easy are they to modify or extend for special purpose use (such as astronomical work)? You may answer me directly, or via the net. I'm sure there are a lot of people who could benefit from this information. Thanks in advance, +=============================================================+ | Patrick C. Beard | | Lawrence Berkeley Laboratory | | Automated Supernova Search | +-------------------------------------------------------------+ | PCBeard@LBL.gov (arpa only) | +=============================================================+ ------------------------------ Date: 29 Jul 88 12:31 PDT From: William Daul / McAir / McDonnell-Douglas Corp Author: Beverly Pieper Subject: NETWORK COMPUTING FORUM - CALL FOR PAPERS NETWORK COMPUTING FORUM CALL FOR PAPERS OCTOBER 5-8, 1988 HOLIDAY INN WESTPORT, ST. LOUIS, MISSOURI The next meeting of the Network Computing Forum will be held on October 5-7 in St. Louis, Missouri. This will be the fourth meeting of the Forum, and will focus on the role of the Forum as a catalyst for change in the industry. The Forum is an industry group chartered to lead the way for rapid adoption of multi-vendor network computing concepts and technologies. Forum meetings allow representatives from users and vendors to work together on common issues in an open, informal atmosphere. The Forum has over 100 member organizations, and more than 220 representatives attended the May 1988 meeting. Forum meetings are organized into three sessions: a conference featuring invited papers and panel sessions, meetings of interest groups and working groups, and a policy making executive committee meeting. Some areas of interest to the Forum member organizations are listed, to suggest possible topics for papers: Definition of user requirements for network computing Practical experiences using network computing concepts & technologies Partitioning and/or integration of applications across networks Remote procedure calls and other core services for network computing System and network administration for networks of heterogeneous computers User interfaces and user environments for network computing Software licensing in a network environment Data representation and command scripting across heterogeneous networks Use of network computing with IBM mainframes (MVS and VM) Invited Papers As part of each Forum meeting, papers are invited from the community at large for presentation and discussion. These papers should address the use or development of network based applications and services. Emphasis should be placed on creating and using tightly coupled links between multiple, heterogeneous computer systems. Technical descriptions of research projects, user experiences, as well as commerically available products are welcome. Invitations are also extended for more informal talks on practical experience in administering heterogeneous computer networks. All presentations should be 35 minutes in length, with 15 minutes of discussion following each presentation. Abstracts must be received by August 10, 1988. Abstracts should summarize the paper in two or three paragraphs and include the mailing address, affiliation, and phone number of the author(s). Notification of abstracts selected will be sent on August 19, 1988 and papers must be submitted no later than September 20, 1988. Papers can be copyrighted, but must include authorization for unrestricted reproduction by the Network Computing Forum. Papers can be marked as working papers to allow future publication. SEND ABSTRACTS BY AUGUST 10, 1988 TO the Program Chairman for the October 1988 meeting: T.D. Carter c/o Jan McPherson McDonnell Douglas Travel Company 944 Anglum Drive, Suite A Hazelwood, MO 63042 (314) 233-2951 Internet Address: TDC.MDC@OFFICE-8.ARPA ------------------------------ Date: Mon, 1 Aug 88 12:08:42 EDT From: mike%bucasb.bu.edu@bu-it.BU.EDU (Michael Cohen) Subject: FIRST ANNUAL MEETING OF THE INTERNATIONAL NEURAL NETWORK SOCIETY MEETING UPDATE: September 6--10, 1988 Park Plaza Hotel Boston, Massachusetts The first annual INNS meeting promises to be a historic event. Its program includes the largest selection of investigators ever assembled to present the full range of neural network research and applications. The meeting will bring together over 2000 scientists, engineers, students, government administrators, industrial commercializers, and financiers. It is rapidly selling out. Reserve now to avoid disappointment. Call J.R. Shuman Associates, (617) 237-7931 for information about registration For information about hotel reservations, call the Park Plaza Hotel at (800) 225-2008 and reference "Neural Networks." If you call from Massachusetts, call (800) 462-2022. There will be 600 scientific presentations, including tutorials, plenary lectures, symposia, and contributed oral and poster presentations. Over 50 exhibits are already reserved for industrial firms, publishing houses, and government agencies. The full day of tutorials presented on September 6 will be given by Gail Carpenter, John Daugman, Stephen Grossberg, Morris Hirsch, Teuvo Kohonen, David Rumelhart, Demetri Psaltis, and Allen Selverston. The plenary lecturers are Stephen Grossberg, Carver Mead, Terrence Sejnowski, Nobuo Suga, and Bernard Widrow. Approximately 30 symposium lectures will be given, 125 contributed oral presentations, and 400 poster presentations. Fourteen professional societies are cooperating with the INNS meeting. They are: American Association of Artificial Intelligence American Mathematical Society Association for Behavior Analysis Cognitive Science Society IEEE Boston Section IEEE Computer Society IEEE Control Systems Society IEEE Engineering in Medicine and Biology Society IEEE Systems, Man and Cybernetics Society Optical Society of America Society for Industrial and Applied Mathematics Society for Mathematical Biology Society of Photo-Optical Instrumentation Engineers Society for the Experimental Analysis of Behavior DO NOT MISS THE FIRST BIRTHDAY CELEBRATION OF THIS IMPORTANT NEW RESEARCH COALITION! ------------------------------ From: Phill Everson Subject: Public Domain Sun Image Processing Software Date: Tue, 19 Jul 88 13:26:39 +0100 Version 1.1.1: of ALV Public Domain (see file "COPYRIGHT") Image Processing Toolkit for the Sun Workstation released Sun 17 Jul, 1988 This is to introduce family of image processing programs written by Phill Everson with help from Gareth Waddell (notably for the dynamic array library) at Bristol University in the UK for SUN workstations, both colour and black/white. (The imed image editor is largely based on sunpaint, written a year or two ago by Ian Batten at Birmingham University. Thanks very much!) It includes tools to display images, to convolve a filter over an image, to create a histogram of the greylevels in an image, to perform histogram equalisation of an image, to threshold an image, to convert an image to Postscript and ... (read the manual page alv(1) for other features). AlV stands for Autonomous Land Vehicle, the research project that these were originally developed for. The toolkit was written to fullfil a need rather than to be especially pretty, so in places there are some rough edges. Some of the tools have been used MUCH more than others and so can be regarded as being pretty much correct (dsp, convolve, pixval, imagelw, subarea, subsample, winwidth, hist & invert). If any of the others seem to be playing up it is possible that there is a bug in there somewhere -- some tools were added at the request of others who promised to test them and have never been heard of since! Please send me any bug reports (and fixes please :-) ) to me. Note that imed does *not* work with colour workstations as yet! ************************************************************************* To get this system up and on the road: 1. Edit the Makefile, changing the directory paths for BINDIR, LIBDIR, INCDIR, MANDIR & FILDIR to suit your system. 2. You might want to alter the command to send Postscript to your Laserprinter in imagelw.c - at present it is "lpr -Plw -v" on line 58. 3. Type 'make' and everything will be compiled and installed. This takes about 15 minutes. 4. Read the manual page alv(1). It can be formatted from this directory by typing 'nroff -man alv.1 | more'. ************************************************************************* This family of programs has 3 manual pages; alv(1), alv(3) & alv(5). alv(1) has a general description of each of the programs and what each of them should do. alv(3) is a description of the library created and alv(5) is a description of the file format used for an image. (I've also included the manual page dynamem(3) for a dynamic memory allocation library which is used by the alv library and which someone may find useful.) The method that we have found works best is that everyone working on vision programs uses the same file format (see alv(5)) and most people will use the core tools to display images etc and the library functions for their own programs. These are and will be used a lot here, so if anybody adds or modifies them, please send me details and I'll collect, collate and send updates out on the mailing list. It is likely that new tools will be added here also as I'm now sure to be here until at least 1990. If you want to be put on a mailing list for additions and bugfix reports, mail "alv-users-request@uk.ac.bristol.cs". The actual mailing list can be accessed by mailing to "alv-users@uk.ac.bristol.cs". I hope they're of some use. Phill Everson SNAIL: Phill Everson, Comp. Sci. Dept., U of Bristol, Bristol, UK JANET: everson@uk.ac.bristol.cs UUCP: ...mcvax!ukc!csisles!everson ARPANET: everson%cs.bristol.ac.uk@nss.cs.ucl.ac.uk ------------------------------ Date: 28 Jul 88 12:41:17 EDT From: Bernice Rogowitz Subject: multidisciplinary conference on VISION, PROCESSING, and DISPLAY ********** MEETING ANNOUNCEMENT AND CALL FOR PAPERS ******** a multidisciplinary conference on: HUMAN VISION, VISUAL PROCESSING, AND DIGITAL DISPLAY Bernice E. Rogowitz, chairman January 19-20, 1989 This meeting is a subset of the SPSE/SPIE Symposium on Electronic Imaging, January 15-20, 1989 Los Angeles Hilton Hotel, Los Angeles, California TOPICS: o Models for Human and Machine Vision o Color Vision and Color Coding o Digitization, Spatial Sampling, and Anti-Aliasing o Vision-Based Algorithms for Image Processing o Psychophysics of Image Quality o Spatial/Color/Temporal Interactions in Perception and Coding CONFERENCE GOAL: The goal of this two-day conference is to explore interactions between human visual processing and the diverse technologies for displaying, coding, processing, and interpreting visual information. PARTICIPANTS: Paper are solicited from scientists working in visual psychophysics, computer vision, computer graphics, digital display, printing, photography, image processing, visualization, medical imaging, etc. IMPORTANT DATES: 150-word Abstracts Due: August 31, 1988 Camera-ready Manuscript due: December 19, 1988 FOR MORE INFORMATION, PLEASE CONTACT: Dr. Bernice E. Rogowitz, chair SPIE Technical Program IBM T. J. Watson Research Center 1022 19th Street Box 218 Yorktown Heights, NY 10598 Bellingham, WA 98225 (914) 945-1687 Net: ROGOWTZ@IBM.COM (206) 676-3290 ------------------------------ End of VISION-LIST ********************