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From: sher@rochester.UUCP (David Sher)
Newsgroups: net.news.group,net.graphics
Subject: Re: Computer Vision newsgroup
Message-ID: <11434@rochester.UUCP>
Date: Fri, 6-Sep-85 21:22:57 EDT
Article-I.D.: rocheste.11434
Posted: Fri Sep  6 21:22:57 1985
Date-Received: Mon, 9-Sep-85 02:27:27 EDT
References: <11307@rochester.UUCP> <888@turtlevax.UUCP>
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Organization: U. of Rochester, CS Dept.
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Xref: watmath net.news.group:3699 net.graphics:1086

> 
> When you read through the printed literature on pattern recognition,
> don't you also have to weed through articles not pertaining to your
> research?

I never have to avoid billions of articles on graphics, I don't get the
graphics literature because of this.  Most of the pattern recognition 
literature has some application to my studies however.

>
Ken here discusses pattern recognition vs image processing
>

There is a fine line between patter recognition and image processing. 
Much of image processing implicitly is involved in recognizing
patterns in images and enhancing them.  Image enhancement can ease the
job of a pattern recognizer.  As far as the mathematics of pattern
recognition it is a hodgepodge of signal detection theory, information
theory, biological models, and statistical inference.  (I probably
missed some).

> 
> How about net.sigproc or net.signal for discussions about signal processing?
> This would include things like
> analog and digital filters,	X
> stability,			?
> anti-aliasing,		*
> image processing,		*
> Kalman filters,		?

Whats a Kalman filter? What is it for? (I am a converted AI/Logic
person and don't have a very complete knowledge of signal processing.
(I will by the time I finish my thesis though!)) (feel free to mail me
if not of general interest)

> parameter estimation,		*
> correlation,			*
> signal theory,		*
> source coding, etc.		X
> 
> What sort of interest is there in such topics?  What techniques are
> used in computer vision?  What are the current hot topics?  Who knows?
> Who cares?  Of those who care, what are your other interests?  What
> sort of catagories make sense to interest a critical mass of people?
> 

I have anotated the list of topics above according to what is relevant
to my picture of computer vision. * means that it is relevant, X means
that it is irrelevant, and ? means I don't know what is refered to. 
Some hot topics in computer vision are:
reconstructing the 3D scene from a 2D image : Subtopics
    shape from shading
    shape from optical flow
    deriving optical flow from images
    3D motion from optical flow
    3D motion from a sparse set of correlated points
Evidence theory (combining the output of unreliable operators to get
    reliable results)
Segmentation
Object recognition
Passive Navigation
Models of the human visual system

These are the kinds of topics I have come in contact with here at the
University of Rochester.  I will be glad to post short explanatory
notes (at my convinience of course) explaining the meaning of some of
these obscure names.  There is no doubt much work in computer vision
that is not done according to these topics so if anyone has any
additions let me know.  

> Or should there be a mailing list set up for such things?  Kahn at UCLA
> has such a mailing list for ARPA-type people, but it has been VERY
> inactive.  Lets have some discussion!  David Sher, are you there?  How
> about other researchers and hackers?

Possibly the reason for the inactivity has been poor publicity.  I
just heard about it in response to my message!  I think one can send
to this group by mailing to vision@aids-unix but am not sure this is
correct.  I will probably soon send a message to net.graphics and
vision@aids-unix about scene models.  

Oh yes, I am here but should be working on my thesis!
> -- 
> Ken Turkowski @ CADLINC, Menlo Park, CA
> UUCP: {amd,decwrl,hplabs,seismo,spar}!turtlevax!ken
> ARPA: turtlevax!ken@DECWRL.ARPA

*** REPLACE THIS LINE WITH YOUR FOOLISHNESS ***
-- 
-David Sher
sher@rochester
seismo!rochester!sher