Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!cwjcc!tut.cis.ohio-state.edu!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: <8902220212.AA13730@deimos.ads.com> Date: 16 Feb 89 20:43:35 GMT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: Vision-List@ADS.COM Distribution: inet Organization: The Internet Lines: 280 Approved: vision-list@ads.com Vision-List Digest Thu Feb 16 12:43:35 PDT 89 - Send submissions to Vision-List@ADS.COM - Send requests for list membership to Vision-List-Request@ADS.COM Today's Topics: Image Display package on X-windows wanted SPIE Conference on Robotics and Computer Vision Re: Vision research information An inexpensive 16level grey scale sensor Suggestions for pattern recognition algorithms ITI150 & ITI151 Image Processing Mailing List Call for papers: IEEE Workshop on 3D Scene Interpretation ---------------------------------------------------------------------- Date: Mon, 13 Feb 89 17:33:16 JST From: Shmuel Peleg Subject: Image Display package on X-windows wanted Please let me know if you have available image display and manipulation system for X windows. We are using Sun 3/60's with grey level and color screens, and X11 R3. Thanks, Shmuel Peleg ------------------------------ Date: 15 Feb 89 00:11:12 GMT From: mit-amt!turk@mit-amt.MEDIA.MIT.EDU (Matthew Turk) Subject: SPIE Conference on Robotics and Computer Vision Keywords: Philadelphia, 11/89 Organization: MIT Media Lab, Cambridge, MA ** Announcement and Call for Papers ** Intelligent Robots and Computer Vision VIII Part of SPIE's Advances in Intelligent Robotics Systems November 5-10, 1989 Adams Mark Hotel Philadelphia, Pennsylvania USA Chairman: David Casasent Carnegie-Mellon University Co-Chairman: Ernie Hall University of Cincinnati This year's conference will focus on new algorithms and techniques for intelligent robots and computer vision. Papers are solicited specifically for the following session topics: - pattern recognition and image processing - image understanding and scene analysis - color vision, multi-sensor processing - 3-D vision: modeling and representation - neural networks, artificial intelligence, model-based processors - fuzzy logic in intelligent systems and computer vision - biological basis for the design of sensors in computer vision Abstract Due Date: April 3, 1989 Manuscript Due Date: October 9, 1989 Information: SPIE Technical Program Committee/Philadelphia '89 P.O. Box 10 Bellingham, WA 98227-0010 USA Or e-mail to: turk@media-lab.media.mit.edu ------------------------------ Date: Mon, 13 Feb 89 09:04:49 EST From: steinmetz!pyramid!malek@mcnc.org (aiman a abdel-malek) Subject: Re: Vision research information I am doing research in exploiting human visual systems characteristics for better image generation and compression. If you are doing research on related topic or one of the following topics : _ Image segmentation using human visual properties and applications in image compression. -The use of visual models for better image generation. -The use of spatial and temporal characteristics of the visual system to enhance image quality and update rates. Contact me, regarding your most recent publications in any of the above topics. Thank you malek@pyramid.steinmetz.Ge.Com ------------------------------ Date: Tue, 14 Feb 89 23:35:37 EST From: Mark Noworolski Subject: An inexpensive 16level grey scale sensor Organization: EECG, University of Toronto About two months ago I asked about cheap image sensors. The best bet then was the Fisher Price Kiddie Camcorder (US $99, Canada $169 or so). This is true, and it's one hell of a deal- it actually works, has a fully funcitonal B&W TV - and it's lots o'fun. Well I went out and bought one of these, Fisher-Price didn't want to help me, so I figured it out myself. I dug around and found the data stream and all necessary synch pulses- all at TTL levels. I'm quite willing to share what I've learned- however I figure probably the best way would be to first figure out how many people want this info (and hence whether I should use the SASE method or actually type all that info in- graphic road maps included). So if this interests you in a reasonably serious way mail me with a subject header to that effect and I'll decide which approach to take within the week (maybe I'll even post here if enough demand develops). I also wrote really ugly Turbo C code and managed to interface it to my PC bus (with 3 chips) so that I can see what it sees. Standard Disclaimer: I have no connection to Fischer-Price except that of a frustrated hacker. cheers mark noworol@godzilla.eecg or noworol@ecf.toronto.edu [ If demand develops, I can place it in the VisionList anonymous FTP directory. I wouldn't want to clutter the list with code... pk... ] ------------------------------ Date: Tue, 14 Feb 89 23:43:01 EST From: Mark Noworolski Subject: Suggestions for pattern recognition algorithms Organization: EECG, University of Toronto Well- now that I've broken the (seeming) tradition of only Conference calls for Papers on the vision-list. Here's a question. I need to use the aforementioned sensor to sense a mouth. Yes that's right. Picture yourself at the dentist and the Dentists light shining in your mouth and an image sensor on top of the dentists light. That's almost exactly what it is. Last time I tried doing pattern recognition I failed miserably (maybe because I tried to do it MY way). So this time I'm going to be smart about it. Are there any algorithms out there particularly well suited for this type of process? What would be the best places to look? How about using some kind of neural net to do this (I know very little if nothing about how to program these- but a friend assures me that they're ideal for pattern recognition)? Any help would be appreciated. mark ------------------------------ Date: Thu, 16 Feb 89 02:05:55 PST From: pvo1478@oce.orst.edu (Paul V. O'Neill) Subject: ITI150 & ITI151 Image Processing Mailing List A new mailing list has been created for users of Imaging Technology's series 150 and 151 image processing systems and ITEX151 software. The goal is to share algorithms, code, tricks, pitfalls, advice, etc. in an effort to decrease development time and increase functionality for the users of these systems. (Also, despite their good support, we customers may want to gang up on ITI someday!!) I envision a simple, unmoderated mail exploder until such time as misuse or inconsideration forces the list to be moderated. Subscription requests to: INTERNET: iti151-request@oce.orst.edu UUCP: ...!hplabs!hp-pcd!orstcs!oce.orst.edu!iti151-request UUCP: ...!tektronix!orstcs!oce.orst.edu!iti151-request Traffic to: iti151@oce.orst.edu ...!hplabs!hp-pcd!orstcs!oce.orst.edu!iti151 ...!tektronix!orstcs!oce.orst.edu!iti151 Paul O'Neill pvo@oce.orst.edu Coastal Imaging Lab OSU--Oceanography Corvallis, OR 97331 503-754-3251 ------------------------------ Date: Tue, 14 Feb 89 09:23:17 EST From: flynn@pixel.cps.msu.edu (Patrick J. Flynn) Subject: Call for papers: IEEE Workshop on 3D Scene Interpretation Status: RO CALL FOR PAPERS IEEE Workshop on Interpretation of 3D Scenes Austin Mariott at the Capital Austin, TX November 27-29, 1989 The interpretation of 3D scenes remains a difficult problem for many application areas and has attracted the attention of researchers in many disciplines. The intent of this workshop is to bring together vision researchers to discuss current work in scene interpretation, representation, matching and sensing. A variety of sessions will be devoted to different aspects of scene interpretation research. The number of presentations will be limited, so there will be ample opportunity for discussion. Papers are invited on all aspects of scene interpretation by human and machine, including: * General 3D interpretation * Applications in navigation, industry, problems enabling technology, etc. * Internal 3D representation and * Matching sensed scene structure modeling to internal representations. * Sensing 3D scene structure Authors are encouraged to present new representations or computational methods with experimental results, present new theoretical insights, or relate new observations of relationships between human and machine processing of 3D scenes. Submission of Papers: Submit three copies of your paper to Eric Grimson to be received on or before June 15, 1989. Papers should not exceed a total of 25 double spaced pages. Authors will be notified of reviewing decisions by August 15 and final papers in camera-ready form will be required by the IEEE Computer Society by September 30,1989. General Chairman: Anil Jain, Michigan State University (517) 353-5150 Internet: jain@cps.msu.edu Program Committee: Jake Aggarwal, University of Texas, Austin Dan Huttenlocher, Cornell University Katsushi Ikeuchi, Carnegie Mellon University Avi Kak, Purdue University David Lowe, University of British Columbia Linda Shapiro, University of Washington Program Chairpersons: Eric Grimson Artificial Intelligence Laboratory M. I. T. 545 Technology Square Cambridge, MA 02139 George Stockman Computer Science Deptartment Michigan State University East Lansing, MI 48824 Local Arrangements: Alan Bovik, University of Texas, Austin ------------------------------ End of VISION-LIST ********************