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VISION-LIST Digest 1988 12 02
Vision-List Digest Fri Dec 02 16:16:37 PDT 88
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Today's Topics:
DeScreening
dissemination of sharware for Image Processing and Computer Vision
Robotics Seminar
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Date: Thu, 24 Nov 88 15:47:37 IST
From: Shelly Glaser 011 972 3 5450119 <GLAS%TAUNIVM.BITNET@CUNYVM.CUNY.EDU>
Subject: DeScreening
Please publish the following question in the Vision Newsletter:
I am looking for information on practical solutions to the
"de-screening" problem: taking a half-toned image (like the one
in printed book or magazine) and removing the half-tone screen
so we get a true continuous-gray-scale image (as opposed to the
binary pulse area modulated half-tone image). The obvious
solution, low-pass filtering, often kills too much of the fine
details in the image, so I am looking for something more
sophisticated.
Many thanks,
Sincerely Yours,
Shelly Glaser
Department of Electronic, Communication, Control
and Computer Systems
Faculty of Engineering
Tel-Aviv University
Tel-Aviv, Israel
FAX: 972 3 419513
Computer network: GLAS@TAUNIVM.BITNET
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Date: 26 Nov 88 18:58:00 GMT
From: annala%neuro.usc.edu@oberon.usc.edu (A J Annala)
Subject: possible use of comp.ai.vision
Organization: University of Southern California, Los Angeles, CA
There has been some discussion in comp.graphics about using comp.ai.vision
as the home for discussions about andf distribution of image processing
software. I personally suspect that this would not be an appropriate use
of the comp.ai.vision group; however, I would appreciate email to my user
account (which I will summarize) on this issue.
Thanks, AJ Annala ( annala%neuro.usc.edu@oberon.usc.edu )
[ Discussions on IP sofware are most definitely appropriate for the Vision
List and comp.ai.vision. Yet, as with other SIG networks, it is not
appropriate to submit the code in this forum. Rather, if there is
shareware IP and CV software which should be disseminated, then a
new network newsgroup entitled something like COMP.BINARIES.VISION
should be established. This requires a site and moderator for this new
net which can establish and manage this new facility. Any volunteers?
phil... ]
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Date: Tue, 29 Nov 88 19:30:46 PST
From: binford@Boa-Constrictor.Stanford.EDU.stanford.edu (Tom Binford)
Subject: Robotics Seminar
Robotics Seminar
Monday, Dec 7, 1988
4:15pm Cedar Hall Conference Room
SOLVING THE STEREO CONSTRAINT EQUATION
Stephen Barnard
Artificial Intelligence Center
SRI International
The essential problem of stereo vision is to find a disparity map
between two images in epipolar correspondence. The stereo constraint
equation, in any of its several forms, specifies a function of disparity
that is a linear combination of photometric error and the first order
variation of the map. This equation can also be interpreted as the
potential energy of a nonlinear, high dimensional dynamic system. By
simulating either the deterministic newtonian dynamics or the
statistical thermodynamics of this system one can find approximate
ground states (i.e., states of minimum potential energy), thereby
solving the stereo constraint equation while constructing a dense
disparity map.
The focus of this talk will be a stochastic method that uses a
microcanonical version of simulated annealing. That is, it explicitly
represents the heat in the system with a lattice of demons, and it cools
the system by removing energy from this lattice. Unlike the
``standard'' Metropolis version of simulated annealing, which simulates
the canonical ensemble, temperature emerges as a statistical property of
the system in this approach. A scale-space image representation is
coupled to the thermodynamics in such a way that the higher frequency
components come into play as the temperature decreases. This method has
recently been implemented on a Connection Machine.
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End of VISION-LIST
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