Path: utzoo!utgpu!water!watmath!clyde!att!osu-cis!tut.cis.ohio-state.edu!bloom-beacon!apple!bionet!agate!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: <8809261718.AA13559@deimos.ads.com> Date: 26 Sep 88 17:55:17 GMT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: Vision-List@ADS.COM Distribution: inet Organization: The Internet Lines: 701 Approved: vision-list@ads.com Vision-List Digest Mon Sep 26 09:55:18 PDT 1988 - Send submissions to Vision-List@ADS.COM - Send requests for list membership to Vision-List-Request@ADS.COM Today's Topics: Motion, correspondence, and aperture problem Re: temporal domain in vision Re: temporal domain in vision Image Processing User's Group - Twin Cities Re: How to connect SUN 3-160M and Imaging technology's series 151 Re: Real-time data acquisition Info. request on computerised colorimetry/microscopy. Faculty position at Stanford Information needed on Intl. Wkshp. on Dynamic Image Analysis... Workshop on VLSI implementation of Neural Nets The 6th Scandinavian Conference on Image Analysis Stanford Robotics Seminars ---------------------------------------------------------------------- Date: Wed, 21 Sep 88 16:13:49 PDT From: stiber@CS.UCLA.EDU (Michael D Stiber) Subject: Motion, correspondence, and aperture problem I am currently working on a thesis involving shape from motion, and would appreciate pointers to the literature that specifically address my topic, as detailed in the "abstract" below. If the following rings any bells, please send me the results of the bell-ringing. I appreciate any efforts that you make with regards to this, even if it is just to send me flames. SHAPE FROM MOTION: ELIMINATING THE CORRESPONDENCE AND APERTURE PROBLEMS The traditional approach to the task of shape from motion has been to first apply spatial processing techniques to individual images in a sequence (to localize features of interest), and then to apply other algorithms to the images to determine how features moved. The oft-mentioned "correspondence" and "aperture" problems arise here, since one cannot be sure, from the information in the processed frames, which features in one frame match which features in the following frames. The methods designed to process visual motion are actually confounded by that motion. Alternative approaches to shape from motion perform temporal (rather than spatial) processing first. These include work on optic flow. When the causes of temporal variation are considered in this manner, it becomes clear that different classes of variation are caused by quite different types of changes in the "real world", and are best accounted for at different levels of processing within a visual system. Thus, overall brightness changes (such as when a cloud moves in front of the sun) are "eliminated from the motion equation" at the lowest levels, with lightness constancy processing. Changes due to eye or camera motion, self motion, and object motion are likewise identified at the appropriate stage of visual processing. This strategy for processing motion uses temporal changes as a source of much additional information, in contrast to the "spatial first" approaches, which throw away that information. The "correspondence" and "aperture" problems are eliminated by using this additional information. This thesis details an algorithm and connectionist architecture for the processing of visual motion due to camera motion. It performs this by converting images from a sensor-based coordinate system (in which camera motion causes temporal variation of images) to a body-centered coordinate system (in which the percept remains constant, independent of camera movement). The "correspondence" and "aperture" problems (as a result of camera motion) are eliminated by this approach. ------------------------------ Date: 21 Sep 88 20:50:53 GMT From: lag@cseg.uucp (L. Adrian Griffis) Subject: Re: temporal domain in vision Keywords: multiplex filter model Organization: College of Engineering, University of Arkansas, Fayetteville In article <233@uceng.UC.EDU>, dmocsny@uceng.UC.EDU (daniel mocsny) writes: > In Science News, vol. 134, July 23, 1988, C. Vaughan reports on the > work of B. Richmond of NIMH and L. Optican of the National Eye > Institute on their multiplex filter model for encoding data on > neural spike trains. The article implies that real neurons multiplex > lots of data onto their spike trains, much more than the simple > analog voltage in most neurocomputer models. I have not seen > Richmond and Optican's papers and the Science News article was > sufficiently watered down to be somewhat baffling. Has anyone > seen the details of this work, and might it lead to a method to > significantly increase the processing power of an artificial neural > network? My understanding is that neurons in the eye depart from a number of general rules that neurons seem to follow elsewhere in the nervous system. One such departure is that sections of a neuron can fire independent of other sections. This allows the eye to behave as though is has a great many logical neuron without having to use the the space that the same number of discrete cellular metabolic systems would require. I'm not an expert in this field, but this suggests to me that many of the special tricks that neurons of the eye employ may be attempts to overcome space limitations rather than to make other processing schemes possible. Whether or not this affects the applicability of such tricks to artificial neural networks is another matter. After all, artificial neural networks have space limitations of their own. UseNet: lag@cseg L. Adrian Griffis BITNET: AG27107@UAFSYSB ------------------------------ Date: 22 Sep 88 01:42:30 GMT From: jwl@ernie.Berkeley.EDU (James Wilbur Lewis) Subject: Re: temporal domain in vision Keywords: multiplex filter model Organization: University of California, Berkeley In article <724@cseg.uucp> lag@cseg.uucp (L. Adrian Griffis) writes: >In article <233@uceng.UC.EDU>, dmocsny@uceng.UC.EDU (daniel mocsny) writes: >> In Science News, vol. 134, July 23, 1988, C. Vaughan reports on the >> work of B. Richmond of NIMH and L. Optican of the National Eye >> Institute on their multiplex filter model for encoding data on >> neural spike trains. The article implies that real neurons multiplex >> lots of data onto their spike trains, much more than the simple >> analog voltage in most neurocomputer models. > >My understanding is that neurons in the eye depart from a number of >general rules that neurons seem to follow elsewhere in the nervous system. I think Richmond and Optican were studying cortical neurons. Retinal neurons encode information mainly by graded potentials, not spike trains....another significant difference between retinal architecture and most of the rest of the CNS. I was somewhat baffled by the Science News article, too. For example, it was noted that the information in the spike trains might be a result of the cable properties of the axons involved, not necessarily encoding any "real" information, but this possibility was dismissed with a few handwaves. Another disturbing loose end was the lack of discussion about how this information might be propogated across synapses. Considering that it generally takes input from several other neurons to trigger a neural firing, and that the integration time necessary would tend to smear out any such fine-tuned temporal information, I don't see how it could be. It's an interesting result, but I think they may have jumped the gun with the conclusion they drew from it. -- Jim Lewis U.C. Berkeley ------------------------------ Date: 22 Sep 88 04:51:39 GMT From: manning@mmm.serc.3m.com (Arthur T. Manning) Subject: Image Processing User's Group - Twin Cities Summary: Announcement of Group's Formation Keywords: vision, image, datacube Organization: 3M Company - Software and Electronics Resource Center (SERC); St. Paul, MN Datacube Inc. (a high-speed image processing hardware manufacturer) is initiating an image processing user's group in the twin cities through their local sales rep Barb Baker Micro Resources Corporation phone: (612) 830-1454 4640 W. 77th St, Sui 109 ITT Telex 499-6349 Edina, Minnesota 55435 FAX (612) 830-1380 Hopefully this group will be the basis of valuable cooperation between various commercial vision groups (as well as others) in the Twin Cities. The first meeting to formulate the purpose, governing body, etc of this image processing user's group was held September 22, 1988. It looks like this newsgroup would be the best place to post further developments. Arthur T. Manning Phone: 612-733-4401 3M Center 518-1 FAX: 612-736-3122 St. Paul MN 55144-1000 U.S.A. Email: manning@mmm.uucp ------------------------------ Date: Thu, 22 Sep 88 00:01:33 CDT From: schultz@mmm.3m.com (John C Schultz) Subject: Re:How to connect SUN 3-160M and Imaging technology's series 151 While we do not have the exact same hardware we are using Bit 3 VME-VME bus repeaters (not extenders) with our SUN 3/160 and Datacube hardware. We had to add a small patch the the Datacube driver to get it to work with the Bit 3 because of the strange Bit 3 handling of interrrupt vectors but now it is fine. The Bit 3 might work for you application, as opposed to a bus "extender", because this repeater keeps the VME backplanes logically and electricially separate although memory mapping is possible. Hope this helps. We don't have IT boards to try it out with. ------------------------------ Date: Thu, 22 Sep 88 00:10:49 CDT From: schultz@mmm.3m.com (John C Schultz) Subject: re:real-time data acquisition >I was wondering if anybody out there knows of a system that will record >rgb digital data in real-time plus some ancillary position information. An >inexpensive medium is of course preferred since it would be useful to >be able to share this data with other folks. Two ways to go (as the moderator mentioned) are low quality VHS style machines which only record maybe 200 lines/image or broadcast quality 3/4 inch tape machines which cost big bucks (and still will probably lose some data from a 512 x 485 image). Digital storage is limited to maybe 30 seconds. In addition to Gould I know of one vendor (Datacube) who supplies 1.2 GB of mag disk for real-time image recording ($25-40K depending on size I think). If the speed requirements are bursty, thse real-time disk systems could be backed up to a Exabyte style cartridge holding a couple GB - or a write-once optical media for faster recall I suppose. As to location info, how about encoding during either vertical blanking or on the audio channel if you use video tape. ------------------------------ Date: 23-SEP-1988 17:02:02 GMT From: ALLEN%BIOMED.ABDN.AC.UK@CUNYVM.CUNY.EDU Subject: Info. request on computerised colorimetry/microscopy. I wonder if anyone can help me with some background information. We have a potential application which involves the measurement of the colour of a surface in an industrial inspection task. It is possible that this will be computerised (eg. camera + framestore). I am trying to find background information on the use of computers in colorimetry. Any books, review articles, etc. which you can recommend, or experience with actual systems, etc. - any info. would be gratefully received. The second part of the project involves the measurement of the thickness of a film (< 20/1000 inch), possibly by optical inspection. We don't want to reinvent the wheel: anyone been here before? Alastair Allen Dept of Physics University of Aberdeen UK. ALLEN@UK.AC.ABDN ------------------------------ Date: 23 Sep 88 19:58:04 GMT From: rit@coyote.stanford.edu (Jean-Francois Rit) Subject: Faculty position at Stanford Organization: Stanford University STANFORD UNIVERSITY Department of Computer Science Faculty Position in Robotics Qualified people are invited to submit applications for a tenure-track faculty position in Robotics. The appointment may be made at either the junior or senior level depending on the qualifications of the applicants. Applicants for a tenured position must have strong records of achievements both in research and in teaching and have demonstrated potential for research leadership and future accomplishments. Applicants for a junior, tenure-track position must have a PhD in Computer Science and have demonstrated competence in one or several areas of Robotics research and must have demonstrated potential for excellent teaching. Outstanding candidates in all areas of Robotics will be considered, with preference to those in Advanced Control or Computer Vision. Depending on specific background and interests, there is a strong possibility of joint appointments with the Mechanical Engineering or Electrical Engineering Departments. Please send applications with curriculum vitae and names of at least four references to: Professor Jean-Claude Latombe, Chairman of Robotics Search Committee, Computer Science Department, Stanford University, Stanford, CA 94305. Stanford University is an Equal Opportunity/Affirmative Action employer and actively solicits applications from qualified women and targeted minorities. Jean-Francois Rit Tel: (415) 723 3796 CS Dept Robotics Laboratory e-mail: rit@coyote.stanford.edu Cedar Hall B7 Stanford, CA 94305-4110 ------------------------------ Date: Sat, 24 Sep 88 14:52 EDT From: From the Land of the HimalayasSubject: Information needed on Intl. Wkshp. on Dynamic Image Analysis... Hullo Folks, Does anyone out there have information about THE 3RD INTERNATIONAL WORKSHOP on TIME-VARYING ANALYSIS and MOVING OBJECT RECOGNITION to be held in Florence, Italy in May,1989 ? I need information on deadlines, the program committee and the rest. Harpreet Univ. of Mass. at Amherst, COINS Dept. sawhney@umass ------------------------------ Date: 22 Sep 88 00:43:58 GMT From: munnari!extro.ucc.su.oz.au!marwan@uunet.UU.NET From: marwan@extro.ucc.su.oz (Marwan Jabri) Subject: Workshop on VLSI implementation of Neural Nets Organization: University of Sydney Computing Service, Australia Neural Networks - Their Implementation in VLSI A Two Day Workshop 5-6 November 1988 Sydney University Electrical Engineering Sponsored by Electrical Engineering Foundation, University of Sydney Introduction ------------- Research in artificial neural systems or, more commonly, artificial neural networks (NNs) has gained new momentum following a decline in the late 1960s as a result of unsuccessful problem solving areas where conventional digital computers, with processing elements switching in nanoseconds, do not perform as well as ``biological'' neural systems that have electrochemical devices responding in milliseconds. These problem solving areas share important attributes in that they may be performed on noisy and distorted data. Vision, speech recognition and combinatorial optimisation are examples of such problems. VLSI implementations of NN systems have begun to appear as a natural solution to building large and fast computational systems. AT&T Bell Labs and California Institute of Technology (Caltech) are two of the leading research institutions where VLSI NN systems have been developed recently. Successful development of VLSI NNs requires a robust design methodology. Objectives of the Workshop -------------------------- The workshop is organised by the Systems Engineering and Design Automation Laboratory (SEDAL), Sydney University Electrical Engineering (SUEE) and is sponsored by the Electrical Engineering Foundation. The workshop will present to academics, researchers and engineers state-of-the-art methodologies for the implementation of VLSI NN systems. It will also ll cover 6 important lectures of the program. Dr. Larry Jackel ---------------- Head Device Structures Research Department, AT\&T Bells Labs. Dr. Larry Jackel is a world expert on VLSI implementation of artificial NNs. He is leader of a group working on the implementation of VLSI chips with several hundreds of neurons for image classification, pattern recognition and associative memories. Dr Jackel has over 80 technical publications in professional journals and seven US patents. He is recipient of the 1985 IEEE Electron Device Society Paul Rappaport Award for best paper. Dr. Jackel is author and/or co-author of several invited papers on NN design, in particular, recently in the special issue on NNs of the IEEE Computer magazine (March 88). Ms. Mary Ann Maher ------------------ Member of the technical staff, Computer Science Department, Caltech. Ms Mary Ann Maher is member of the research group headed by professor Carver in the simulation of VLSI implementations of NNs. She has participated as an invited speaker at several conferences and workshops on VLSI implementation of NNs including the IEEE International Symposium on Circuits and Systems, 1988 at Helsinki. Invited Speakers ---------------- The seminar will also feature speakers from several Australian research institutions with a diverse background who will give the participants a broad overview of the subject. Prof. Max Benne Wales Prof. Rigby will present an introduction to important MOS building blocks used in the VLSI implementation of NNs. Other lectures and tutorials will be presented by the following speakers from Sydney University Electrical Engineering: Peter Henderson, SEDAL Marwan Jabri, SEDAL Dr. Peter Nickolls, Laboratory for Imaging Science and Engineering Clive Summerfield, Speech Technology Research Venue ----- The course will be held in Lecture Theatre 450, Sydney University Electrical Engineering on November 5 and 6, 1988. Registration ------------ The workshop registration cost is $400 for a private institutioFor more information please contact: Marwan Jabri, SEDAL, Sydney University Electrical Engineering, NSW 2006 or by: Tel: 02 692 2240 Fax: 02 692 2012 ACSnet marwan@extro.ucc.su.oz ------------------------------ Date: Thu, 22 Sep 88 13:43:59 +0300 From: scia@stek5.oulu.fi (SCIA confrence in OULU) The 6th Scandinavian Conference on Image Analysis ================================================= June 19 - 22, 1989 Oulu, Finland Second Call for Papers INVITATION TO 6TH SCIA The 6th Scandinavian Conference on Image Analysis (6SCIA) will be arranged by the Pattern Recognition Society of Fin- land from June 19 to June 22, 1989. The conference is spon- sored by the International Association for Pattern Recogni- tion. The conference will be held at the University of Oulu. Oulu is the major industrial city in North Finland, situated not far from the Arctic Circle. The conference site is at the Linnanmaa campus of the University, near downtown Oulu. CONFERENCE COMMITTEE Erkki Oja, Conference Chairman Matti Pietik{inen, Program Chairman Juha R|ning, Local organization Chairman Hannu Hakalahti, Exhibition Chairman Jan-Olof Eklundh, Sweden Stein Grinaker, Norway Teuvo Kohonen, Finland L. F. Pau, Denmark SCIENTIFIC PROGRAM The program will consist of contributed papers, invited talks and special panels. The contributed papers will cov- er: * computer vision * image processing * pattern recognition * perception * parallel algorithms and architectures as well as application areas including * industry * medicine and biology * office automation * remote sensing There will be invited speakers on the following topics: Industrial Machine Vision (Dr. J. Sanz, IBM Almaden Research Center) Vision and Robotics (Prof. Y. Shirai, Osaka University) Knowledge-Based Vision (Prof. L. Davis, University of Maryland) Parallel Architectures (Prof. P. E. Danielsson, Link|ping University) Neural Networks in Vision (to be announced) Image Processing for HDTV (Dr. G. Tonge, Independent Broadcasting Authority). Panels will be organized on the following topics: Visual Inspection in the Electronics Industry (moderator: prof. L. F. Pau); Medical Imaging (moderator: prof. N. Saranummi); Neural Networks and Conventional Architectures (moderator: prof. E. Oja); Image Processing Workstations (moderator: Dr. A. Kortekan- gas). SUBMISSION OF PAPERS Authors are invited to submit four copies of an extended summary of at least 1000 words of each of their papers to: Professor Matti Pietik{inen 6SCIA Program Chairman Dept. of Electrical Engineering University of Oulu SF-90570 OULU, Finland tel +358-81-352765 fax +358-81-561278 telex 32 375 oylin sf net scia@steks.oulu.fi The summary should contain sufficient detail, including a clear description of the salient concepts and novel features of the work. The deadline for submission of summaries is December 1, 1988. Authors will be notified of acceptance by January 31st, 1989 and final camera-ready papers will be re- quired by March 31st, 1989. The length of the final paper must not exceed 8 pages. In- structions for writing the final paper will be sent to the authors. EXHIBITION An exhibition is planned. Companies and institutions in- volved in image analysis and related fields are invited to exhibit their products at demonstration stands, on posters or video. Please indicate your interest to take part by con- tacting the Exhibition Committee: Matti Oikarinen P.O. Box 181 SF-90101 OULU Finland tel. +358-81-346488 telex 32354 vttou sf fax. +358-81-346211 SOCIAL PROGRAM A social program will be arranged, including possibilities to enjoy the location of the conference, the sea and the midnight sun. There are excellent possibilities to make post-conference tours e.g. to Lapland or to the lake dis- trict of Finland. The social program will consist of a get-together party on Monday June 19th, a city reception on Tuesday June 20th, and the conference Banquet on Wednesday June 21st. These are all included in the registration fee. There is an extra fee for accompanying persons. REGISTRATION INFORMATION The registration fee will be 1300 FIM before April 15th, 1989 and 1500 FIM afterwards. The fee for participants cov- ers: entrance to all sessions, panels and exhibition; proceedings; get-together party, city reception, banquet and coffee breaks. The fee is payable by - check made out to 6th SCIA and mailed to the Conference Secretariat; or by - bank transfer draft account or - all major credit cards Registration forms, hotel information and practical travel information are available from the Conference Secretariat. An information package will be sent to authors of accepted papers by January 31st, 1989. Secretariat: Congress Team P.O. Box 227 SF-00131 HELSINKI Finland tel. +358-0-176866 telex 122783 arcon sf fax +358-0-1855245 There will be hotel rooms available for participants, with prices ranging from 135 FIM (90 FIM) to 430 FIM (270 FIM) per night for a single room (double room/person). ------------------------------ From: binford@Boa-Constrictor.Stanford.EDU.stanford.edu (Tom Binford) Subject: ROBOTICS SEMINARS Monday, Sept. 26, 4:15 Self-Calibrated Collinearity Detector. Yael Neumann Weizmann inst. Israel. Abstract: The visual system can make highly precise spatial judgments. It has been sugested that the high accuracy is maintained by an error correction mechanism. According to this view, adaptation and aftereffect phenomena can be explained as a by product of an error correction mecahnism. This work describes an adaptive system for collinearity and straightness detection. The system incorporates an error correction mechanism and it is, therefore, highly accurate. The error correction mechanism is performed by a simple self calibration process names proportional multi-gain asjustment. The calibration process adjusts the gain values of the system input units. It compensate for errors due to noise in the input units receptive fields location and response functions by ensuring that the average collinearity offset (or curvature) detected by the system is zero (straight). Wednesday, September 28, 1988 Greg Hager Computer and Information Science University of Pennsylvania ACTIVE REDUCTION OF UNCERTAINTY IN MULTI-SENSOR SYSTEMS 4:15 p.m. Oct 3, 1988 Dr. Doug Smith Kestrel Institute KIDS - A Knowledge-Based Software Development System Abstract: KIDS (Kestrel Interactive Development System) is an experimental knowledge-based software development system that integrates a number of sources of programming knowledge. It is used to interactively develop formal specifications into correct and efficient programs. Tools for performing algorithm design, a generalized form of deductive inference, program simplification, finite differencing optimizations, and partial evaluation are available to the program developer. We describe these tools and discuss the derivation of several programs drawn from scheduling and pattern-recognition applications. All of the KIDS tools are automatic except the algorithm design tactics which require some interaction at present. Dozens of derivations have been performed using the KIDS environment and we believe that it is close to the point where it can be used for some routine programming. ------------------------------ End of VISION-LIST ********************