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VISION-LIST Digest 1989 01 17

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VISION LIST Digest
 · 10 months ago

Vision-List Digest	Tue Jan 17 11:28:23 PDT 89 

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Today's Topics:

RE: Request for Industrial Research Topics
Update on Geometer
Topo from Stereo satellite images
SPSE/SPIE Conference.

----------------------------------------------------------------------

Date: Sat, 14 Jan 89 13:54:01 PST
From: skrzypek@CS.UCLA.EDU (Dr Josef Skrzypek)
Subject: RE: Request for Industrial Research Topics


>> Date: Mon, 09 Jan 89 08:42:03 -0500
>> Subject: Request for Industrial Research Topics
>> From: "Kenneth I. Laws" <klaws@note.nsf.gov>
>>
>>
>> Most engineers start with real problems and do research
>> to find appropriate tools and solutions. MOST ACADEMICS
>> START WITH TOOLS AND DO RESEARCH TO FIND APPROPRIATE
>> PROBLEMS AND FUNDING AGENCIES....

This is a rather naive view of academics approach to problem solving.
Ken, you have mixed it up. Normally it's the other way around. One
thing is certain, having tools and poking around, with the hope of
finding a problem is a prescription for very poor science and probably
bad engineering. Is there a fundamental change in NSF philosophy?



------------------------------

Date: Sat, 14 Jan 89 17:44 EST
From: "Fred, the Geometer Oracle" <GEOMETER@cs.umass.EDU>
Subject: Update on Geometer

An earlier vision-list item describing the Geometer system listed its
FTP address as COINS.CS.UMASS.EDU. Since FTP to this address is not
reliable, those interested should use the address 128.119.40.1 instead.
This seems to work much better. Sorry for the inconvenience.
-C. Connolly


------------------------------

Date: 14 Jan 89 21:00:00 EDT
From: "Eric el Rojo" <fielding@Geology.TN.Cornell.Edu>
Subject: Topo from Stereo satellite images

I was encouraged by the recent clarification of the purposes of this
list to ask this question. I don't know if this is considered
"trivial" nowadays. I have several stereo pairs of satellite images
(SPOT panchromatic 6000x6000 pixels) and I want to extract the
topography of the area. I have heard of several companies that are
supposed to sell this as a service, but us poor academics can't afford
too much. Are there numerous references on solutions to this problem?
It seems like it might be easier than most shape-from-stereo-views
problems due to the fact that the earth's surface can be assumed to be
a nearly continuous surface, and we have some approximate elevations
from existing maps. Other suggestions? Thanks.

++Eric Fielding
fielding@geology.tn.cornell.edu
ERIC@CRNLTHRY.bitnet
...!cornell!batcomputer!eric


------------------------------

Date: 14 Jan 89 18:27:34 EST
From: Bernice Rogowitz <ROGOWTZ@ibm.com>
Subject: SPSE/SPIE Conference.


This is the final program for the 3-day Conference (Jan 18-20,'89) on:

HUMAN VISION, VISUAL PROCESSING & DIGITAL DISPLAY

This conference is a subset of the:

SPSE/SPIE Symposium on Electronic Imaging, January 15-20, 1989
Los Angeles Hilton Hotel, Los Angeles, California


Bernice E. Rogowitz, IBM T. J. Watson Research Center, Chair
ROGOWTZ@IBM.COM (914)945- 1687



I.THE PHYSICS & PSYCHOPHYSICS OF DISPLAYED INFORMATION
(Wednesday morning, January 18)

Analysis and Measurement of Visual Resolution from Shadow Mask
CRT Displays
Harry Veron, Robert Labonte, Hugh Masterman, The MITRE Corporation

Visual Performance Evaluation for LCD Displays: Appropriate
Methods for Measuring Luminance and Contrast
Jean Glasser
Centre National D'Etudes des Telecommunications (CNET), France

Threshold Measurements for Character Jitter on Video Display Terminals
Evanne J. Casson, Ophthalmology Dept., University of California, Davis
Joyce E. Farrell, Carl R. Haynie, Hewlett-Packard Company

Spatial Adaptation on Video Display Terminals
Daniel S. Greenhouse, Ian L. Bailey, Peter A. Howarth,
School of Optometry, University of California, Berkeley
Samuel M. Berman, Lawrence Berkeley Lab.

Assessing the Focus Quality of Television Pictures
J. G. Lourens, T. C. DuToit, J. B. DuToit
Dept.of El. & Electronic Eng., Univ. of Stellenbosch, S. Africa

Gold to Lead? Graphics-to-TV Standards Conversion by 2D
Spatial Resampling
David Oakley, Megatek Corporation

A Consideration of Vision and Picture Quality
Hideo Kusaka, NHK Science and Technical Research Labs, Japan

>From a Physical Color Stimulus to a Psychological Color Percept
Dan G. Sporea, Lasers Dept., Central Institute of Physics, Romania
Gunnar Tonnquist, The Royal Institute of Technology, Sweden


II.VISUAL PERFORMANCE & IMAGE QUALITY
(Wednesday afternoon, January 18)

Brightness, Contrast, and Sharpness: Interactive Factors in Perceptual
Image Quality
Jacques Roufs
Institute for Perception Research, Eindhoven University, the Netherlands

The Square-Root Integral (SQRI): A New Metric to Describe
the Effect of Various Display Parameters on Perceived Image Quality
Peter Barten, Barten Consultancy, the Netherlands

Visibility and Discriminability of Features in Digital Radiological
Images
Philip F. Judy, Richard G. Swensson, Bruce G. Berg, Hsuan Chang
Dept. of Radiology, Harvard Medical School

Visual Multipoles and the Assessment of Visual Sensitivity
to Displayed Images
Stanley Klein, College of Optometry, University of California, Berkeley

The Full Range of Human Temporal Resolution
Christopher W. Tyler, Smith-Kettlewell Eye Research Institute

A Suprathreshold Ferry-Porter Law: Implications for the
Measurement of Display Flicker
Bernice E. Rogowitz, Vision Science Group, IBM T.J. Watson Research Center

A Spatio-Temporal Model of the Human Observer for Use in Digital Display
Dirk Bosman, Universiteit Twente, the Netherlands


III. VISION-BASED ALGORITHMS FOR IMAGE PROCESSING
(Thursday morning, January 19)
Jan P. Allebach, Purdue University, Session Chair

A Unification of Brightness Theories
Zenhua Xie, Thomas G. Stockham, Jr.
Dept. of Electrical Engineering, University of Utah

Digital Processing of Color Images
Sanjit K. Mitra, Iraaj Zarrinnaal, Yao Wang
Dept. of Elec. & Computer Eng., Univ. of California, Santa Barbara

Using Color to Represent Low Spatial Frequencies in Speckle-Degraded
Images
William Mayo, Philips Ultrasound, Inc.

On Transparent Quality Image Coding Using Visual Models
Ramo V. Ramamoorthy, Speech and Signal Technology Group,
U. S. West Advanced Technologies
Nuggehally S. Jayant, Signal Processing Research, AT&T Bell Laboratories

Image Segmentation Using Human Visual System Properties with Applications
in Image Compression
Heidi A. Peterson, School of Electrical Engineering, Purdue University
Sarah A. Rajala, Dept. of Electrical & Computer Engineering,
North Carolina State University
Edward J. Delp, School of Electrical Engineering, Purdue University

Image Coding for Data Compression Using a Human Visual Model
Scott E. Budge, Lisa A. Talbot, Douglas M. Chabries,
Richard W. Christiansen
Dept. of Electrical & Computer Engineering, Brigham Young University

The Information Theoretical Significance of Spatial and
Temporal Masking in Video Signals
Bernd Girod, MIT Media Laboratory


IV.VISUAL SAMPLING, COMPRESSION & REPRESENTATION
(Thursday afternoon, January 19)

Receptive Fields and Visual Representation
Andrew B. Watson, Vision Group, NASA Ames Research Center

A Psychophysical Rating of Various Image Compression Techniques
Charles S. Stein, Computer and Information Sciences,
University of California, Santa Cruz
Andrew B. Watson, Vision Group, NASA Ames Research Center
Lewis E. Hitchner, Computer and Information Sciences,
University of California, Santa Cruz

A Multiple-Channel Model for the Prediction of Subjective
Image Quality
C. Zetzsche, Gert Hauske, Technische Universitat Munchen, FRG

Application of a Noise Adaptive Contrast Sensitivity Function to
Image Data Compression
Scott Daly, Majid Rabbani, Eastman-Kodak Company

Reconstructing Irregularly Sampled Images by Neural Networks
Albert J. Ahumada, Jr., NASA Ames Research Center
John I. Yellott, Jr., University of California, Irvine

Adaptive Sampling, Transmission, and Rendering of Images
Ron Blanford, James Painter, Kenneth Sloan
Dept. of Computer Science, University of Washington


V. TEXTURE, PATTERN & MOTION
(Friday morning, January 20)

AI and Early Vision
Bela Julesz, Visual Perception Research Group, AT&T Bell Laboratories

What the Statistics of Natural Images Tell Us About Visual Coding
David Field, The Physiological Laboratory, University of Cambridge, U.K.

Predicting the Perceived Orientation of a Complex Pattern from the
Visibility of its Spatial Frequency Components
Claude Bonnet, Universite Rene Descartes & CNRS, France
H. Brettel, Laboratoire de Physique Appliquee, France
I. Cohen, Universite Rene Descartes & CNRS, France

A New Paradigm for Testing Human and Machine Motion Perception
Thomas V. Papathomas, AT&T Bell Labs
Andrei Gorea, Universite Rene Descartes & CNRS, France

A Motion Perception Model with Interactions Between Spatial
Frequency Channels
Misami Ogata, Takao Sato, ATR Auditory & Perception Research Labs,
Osaka, Japan

Static vs. Dynamic Threshold Measurements Under Optical Degradation
Marcus D. Benedetto, Center for Ophthalmic Research

Application of Visual Psychophysics to the Design of Video Systems
for Use in Space
William Glenn, Karen Glenn, New York Institute of Technology


VI. COLOR PERCEPTION, CODING & REPRESENTATION
(Friday afternoon, January 20)

Eleven Colors That Are Almost Never Confused
Robert M. Boynton
Dept. of Psychology, University of California, San Diego

Strategies for Selecting Colors for a Fixed Color Palette
Walter Bender, MIT Media Laboratory
Nathaniel Jacobson, Consultant, MIT Media Laboratory

A Comparison of Techniques for Color Gamut Mismatch Compensation
Ronald S. Gentile, School of Electrical Engineering, Purdue University
Eric Walowit, Mead Imaging
Jan P. Allebach, School of Electrical Engineering, Purdue University

The Role of Simple Non-Linear Operations in Modelling Human Lightness
Sensation
John J. McCann, Polaroid Corporation

Reference White Standards for Video Display Units
Michael H. Brill, Science Applications International Corporation
Gunilla Derefeldt, Swedish Defence Research Establishment

Visual Coding of Chromatic Edges
Tom Troscianko, IBM UK Scientific Centre, and Bristol University, U.K.

A Unified Model for Human Color Perception and Visual Adaptation
Lee Guth, Dept. of Psychology & School of Optometry, Indiana University



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End of VISION-LIST
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