eugene@ames.UUCP (Eugene Miya) (02/20/85)
Subject: NASA Ames Research Center SEMINAR ANNOUNCEMENT National Aeronautics and Space Administration Ames Research Center SEMINAR ANNOUNCEMENT Computational Research and Tehnology Branch SPEAKER: Gregory M. Nielson Comp. Sci. Dept. Arizona State Univ. TOPIC: A Rectangular nu -Spline for Interactive Surface Design ABSTRACT: A new type of surface for interactive design is presented. The mathematical presentation of this surface is based upon a rectangular network of nu-splines. Tension can be applied interactively at a single control point or along and across a curve of the network. Computational algorithms are discussed and some examples are presented. DATE: 22 Feb. 1985 TIME: 10:30 BLDG: 202a ROOM: 210 POINT OF CONTACT: Sarah Stead PHONE NUMBER: (415)-694-6629 stead@ames-vmsb.ARPA VISITORS ARE WELCOME: Register and obtain vehicle pass at Ames Visitor Reception Building (N-253) or the Security Station near Gate 18. See map below. Do not use the Navy Main Gate. Non-citizens (except Permanent Residents) must have prior approval from the Director's Office one week in advance. Submit requests to the point of contact indicated above. Non-citizens must register at the Visitor Reception Building. Permanent Residents are required to show Alien Registration Card at the time of registration.
amyjo@ames.UUCP (Amy Jo Bilson) (01/17/86)
*** REPLACE THIS LINE WITH YOUR MESSAGE *** Title: Image processing by constant volume operators. Speaker: John I. Yellott, Jr. Affiliation: University of California, Irvine. Time and date: 2 PM, Thursday January 23, 1986. Place: Life Sciences Bldg. 239, Conference Rm 177. Contact: A. Ahumada, x6257, Mail Stop 239-3. Abstract: A class of image processing operators is described which can take images with a large variation in quantum catch per pixel and produce output images with a relatively constant signal-to-noise ratio per pixel. These simple operators automatically provide spatial summation for noise reduction at low signal levels and high-pass filtering for signal compression at high signal levels. These operators are shown to obey several basic psychophysical "laws" of the human visual system.