Path: utzoo!utgpu!news-server.csri.toronto.edu!rutgers!usc!sdd.hp.com!decwrl!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: <9008020400.AA10597@deimos.ads.com> Date: 1 Aug 90 20:47:50 GMT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: Vision-List@ADS.COM Distribution: inet Organization: The Internet Lines: 207 Approved: vision-list@ads.com Vision-List Digest Wed Aug 01 12:47:50 PDT 90 - Send submissions to Vision-List@ADS.COM - Send requests for list membership to Vision-List-Request@ADS.COM Today's Topics: Line length using Hough Transform Where to find jobs in Image/ digital signal processing? Displaying 24bit/pix images on 8bit/pix device fractals and texture analysis postdoctoral position available 3 Research Posts - Computer Vision ---------------------------------------------------------------------- Date: 26 July 90, 17:32:19 UPM From: FACC005@SAUPM00.BITNET Subject: Line length using Hough Transform Can anyone give me any pointer to literature on finding the length (not parameters) of a line using Hough Transform. The line may be short i.e. it may not cross the full image. Thanks in advance. ATIQ (facc005@saupm00.bitnet) ------------------------------ Date: Thu, 26 Jul 90 16:15 EST From: CHELLALI@northeastern.edu Subject: Where to find jobs in Image/ digital signal processing? Hi, Can anyone tell me what's a good place to look for a job in Electrical Engineering (Image/ digital signal processing) with a Ph.D degree. Also, I would like to add that the job should not require US citizen... I am in Boston right now, and jobs are not comming easy. Thanks a lot. M Chellali ------------------------------ Date: 27 Jul 90 20:56:07 GMT From: surajit@hathi.eng.ohio-state.edu (Surajit Chakravarti) Subject: Displaying 24bit/pix images on 8bit/pix device Organization: The Ohio State University Dept of Electrical Engineering Hi folks, We have a few images in 24 bits/pixel format (one byte each of Red, Green and Blue per pixel). We need to convert these images into sun raster 8 bit color format or GIF format in order to display on X windows. Is there any available programs or formulae that would let us either convert these images to a compatible form or let us display them directly on the X windows? Any information in this regard will be greatly appreciated. Thanks in advance. Surajit Chakravarti * surajit@hathi.eng.ohio-state.edu * Office: 679 Dreese Labs Electrical Engineering * SPANN Lab: 512 Dreese Labs The Ohio State University * SPANN Phone: (614)-292-6502 ------------------------------ Date: Mon, 30 Jul 90 17:52:44 bst From: Eduardo Bayro Subject: fractals and texture analysis Organization: Univ. of Wales Coll. of Cardiff, Dept. of Electronic & Systems Engineering Does anybody knows about the use of fractals in image processing for texture analysis. Fractals are used in chaos theory and non- linearities. Answers by e-mail are appreciate. Many thanks. Eduardo Bayro Eduardo Bayro, School of Electrical, Electronic and Systems Engineering, University of Wales College of Cardiff, Cardiff, Wales, UK. Internet: eba%cm.cf.ac.uk@nsfnet-relay.ac.uk Janet: eba@uk.ac.cf.cm UUCP: eba@cf-cm.UUCP or ...!mcsun!ukc!cf-cm!eba ------------------------------ Date: Tue, 31 Jul 90 00:12 EDT From: GINDI%GINDI@Venus.YCC.Yale.Edu Subject: postdoctoral position available YALE UNIVERSITY Postdoctoral Position in Neural Networks for Vision One position is open within a research group interested in developing neural network-based approaches to computer vision and image understanding problems. We are particularly interested in using model-based optimization strategies for locating and quantifying objects and other image structures, and automatically learning the characteristics of new ones; we are in the process of extending these ideas to scale-space and other continuation methods for optimization. The group includes three faculty members, three Ph.D. students and a full time programmer. Collaboration with researchers in biomedical and neurobiological image processing is also possible. The position is joint between the Departments of Computer Science and Diagnostic Radiology. In addition, the research group has strong ties with faculty members in the Electrical Engineering Department. Those who apply should have a Ph.D. in a neural network-related field such as computer science, electrical engineering, applied mathematics or physics, preferably with a strong background and coursework in image processing and computer vision. A strong programming ability is also preferred. The initial appointment will be for one year, renewable for a second year contingent upon the availability of funds and by mutual agreement. Salary will be based on background and experience, but is expected to be in the $28K - $32K range. Review of applications will begin immediately and will be accepted until the position is filled. Applicants should send a resume and the names and addresses of three references to: Professor Eric Mjolsness, Department Computer Science, Yale Unversity P.O. Box 2158 Yale Station 51 Prospect Street New Haven, Connecticut, 06520, and should also, if possible, contact him by electronic mail at mjolsness@cs.yale.edu OR write and email to: Professor Gene Gindi Department of Electrical Engineering Yale University P.O. Box 2157 Yale Station New Haven, Connecticut 06520 gindi@venus.ycc.yale.edu ------------------------------ Date: Wed, 1 Aug 90 12:06:50 BST From: D K Naidu Subject: 3 Research Posts - Computer Vision Three Research Posts - Computer Vision University of Edinburgh Department of Artificial Intelligence Applications are invited for three researchers to work in the Department of Artificial Intelligence on a European Institute of Technology funded research project entitled "Surface-Based Object Recognition for Industrial Automation" and a SERC funded IED pro- ject entitled "Location and Inspection from Range Data". Princi- pal investigators on the projects are Dr. Robert Fisher and Dr. John Hallam. The projects investigate the use of laser-stripe based range data to identify and locate parts as they pass down a conveyor belt. The vision research to be undertaken includes topics in: surface patch extraction from range data, surface patch clustering, geometric object modeling, model matching, geometric reasoning and parallel image processing. The projects build on substantial existing research. One researcher will be expected to take a leading role in the scientific direction of the projects (5 research staff total) as well as undertake scientific research. The second researcher will be more involved in software implementation and testing, but will be expected to undertake some original research. The third researcher will be mainly investigating parallel re- implementations of existing serial vision algorithms on transputer-based systems. Applicants for the first two posts should have a PhD (or comparable experience) in an appropriate area, such as computer vision, image processing, computer science or mathematics. Applicants for the third post should have at least a BSc in an appropriate area. In general, applicants should have experience with the C program- ming language. Applicants with experience in computer vision, the UNIX operating system, the C++ language or parallel process- ing on transputer systems will be preferred. The details are: Post Salary (Pounds) Scale Duration Start Date ========================================================================== 1 11399-20372 AR1a/AR2 1 year (probable 2nd year) Nov 1st 2 11399-14744 AR1b/AR1a 2 years Now 3 11399-14744 AR1b/AR1a 1 year (probable 2nd year) Nov 1st Placement for all posts is according to age, experience and qual- ifications. Applications should include a curriculum vitae (3 copies) and the names and addresses of two referees, and should be sent to the Personnel Department, University of Edinburgh, 63 South Bridge, Edinburgh, EH1 1LS by August 21, 1990, from whom further particu- lars can be obtained. In your application letter, please quote reference number 5796, and indicate for which of the posts you are applying. ------------------------------ End of VISION-LIST ********************