Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!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: <8906040017.AA21127@deimos.ads.com> Date: 4 Jun 89 01:05:22 GMT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: Vision-List@ADS.COM Distribution: inet Organization: The Internet Lines: 158 Approved: vision-list@ads.com Vision-List Digest Sat Jun 03 17:05:23 PDT 89 - Send submissions to Vision-List@ADS.COM - Send requests for list membership to Vision-List-Request@ADS.COM Today's Topics: Request for range images Rule based decisions vs functional decisions Post Doctoral Faculty Positions in Computer Science at CMU Invitation to Join the SUN Medical Users Group ------------------------------ Date: 02 Jun 89 10:19:06+0200 From: Martin Peter Subject: Request for range images I'm working as a phd student on a 3-d object recognition system, based on a constraint search algorithm. Typical application of the system may be a robot for sorting parcels in a postoffice. Objects in the scene are modeled with planar, cylindrical and general curved surface patches.Occlusion is allowed. Inputdatas should come from a structured light sensor, which the low level part will convert into surface patch information. Unfortunately the structured light sensor is not yet working, so I'm playing around with some simple synthetically generated images. Question: Are there in the Computer Vision Community some standart range images avaible, maybe some standart benchmark scenes ? Can some one mail me some range images ? Thanks for any help. [ This is a great idea. It is often difficult for all of us to get interesting and useful data. Anyone willing to share data with others, please post a description of its type, size, properties, etc. Anyone who knows of a public repository for this type of data, please post what you know. One would think that the U.S. Gov't, with all the image based work they fund, has at least several public repositories which could be used to obtain data. Any info anyone? phil... ] Martin Peter > EAN: mpeter@zir.ethz.ch Computer Vison Lab > UUCP: mpeter@ethz.uucp Swiss Fed. Inst. Of Tech. > BITNET: mpeter@czheth5a.bitnet IKT/BIWI ETH Zurich/Swizterland ------------------------------ Date: 3 Jun 89 01:47:52 GMT From: nealiphc@blake.acs.washington.edu (Phillip Neal) Subject: rule based decisions vs functional decisions Keywords: image understanding, machine learning , image processing Organization: Univ of Washington, Seattle Does anybody have any performance numbers for a rule based decision making image segmentation method vs a regular functional decision making method. In other words, which is better -- theoretically or empirically in terms of classification rate: 1. Developing rules like: If the edge is more than 20 grey levels and the major direction is north east, then the confidence factor for this rule is 20 else confidence factor for this rule is 0 vs 2. y = f(delta(grey),direction) if(y.gt..5) then this is a true edge. and the coefficients are 'learned' through some inductive process like discriminant analysis or some bayesian update routine. That's all for now, Phil Neal ---- nealiphc@blake.acs.washington.edu ------------------------------ Date: Wednesday, 31 May 1989 23:12:50 EDT From: Dave.McKeown@maps.cs.cmu.edu Subject: Post Doctoral Faculty Positions in Computer Science at CMU Post Doctoral Faculty Positions in Computer Science Digital Mapping Laboratory School of Computer Science Carnegie Mellon University Applications are invited for a post-doctoral research faculty position in the School of Computer Science at Carnegie Mellon University. This position is tenable for two years with possibilities for appointment to the regular Research or Systems Faculty track within the School. The successful applicant will be expected to play a major role in the current and future research efforts within the Digital Mapping Laboratory. Our research is broadly focused on the automated interpretation of remotely sensed data including high-resolution aerial imagery and multi-spectral imagery such as SPOT and Landsat TM. Current areas of investigation include knowledge-based scene analysis, automated acquisition of spatial and structural constraints, cultural feature extraction (road network, and building detection and delineation), automated scene registration and stereo matching, parallel architectures for production systems, and large-scale spatial databases. A strong background in one or more of these or related areas is required. Excellent written and verbal communication skills are also expected. Applicants should send a curriculum vitae and names of at least three references to: David M. McKeown Digital Mapping Laboratory School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213. Carnegie Mellon is an Equal Opportunity/Affirmative Action employer. ---------------------------------------------------------------------- Date: Wed, 31 May 89 10:26:32 PDT From: clairee%sunwhere@Sun.COM (Claire Eurglunes) Subject: Invitation to Join the SUN Medical Users Group Greetings: My name is Claire Eurglunes and I have recently been hired by SUN Microsystems in Mountain View to form the SUN Medical Users Group. I work under Ken Macrae in the Scientific Products area. I am currently looking for all SUN and TAAC users that may be interested in joining this users group. We are planning a first meeting towards the end of June. Please contact me if you are interested...we hope to establish users lists, a bibliography of papers, abstracts and presentations, a software consortium, etc. Claire Eurglunes sunwhere.Sun.COM!clairee@sun.com (415)336-5131 ------------------------------ End of VISION-LIST ********************