CVNet - call for papers

CVNet (cvnet@skivs.ski.org)
Mon, 11 Aug 97 01:23:41 PDT

From: "Luciano da F.Costa" <LUCIANO@IFQSC.SC.USP.BR>
Subject: simple receptive fields
To: hchan@well.sf.ca.us

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Dear Hoover:

Please find enclosed the Call for Papers of the JRTI Special
Issue on Hough Transform. We would be grateful if you could
disseminate this CFP.

Yours sincerely,

Luciano da F. Costa
Harry Wechsler

P.S.: Please acknowledge to Luciano.

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JOURNAL OF REAL-TIME IMAGING

SPECIAL ISSUE
Has the Hough Transform come of Age?

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Guest editors:

Luciano da Fontoura Costa
Cybernetic Vision Research Group
IFSC - University of Sao Paulo, Brazil
Caixa Postal 369
Sao Carlos - SP - 13560-970 - Brazil
e-mail: luciano@ifqsc.sc.usp.br
WWW: http://www.ifqsc.sc.usp.br/visao/group/members/luciano/luciano.htm

Harry Wechsler
Computer Science Department
George Mason University, USA
Fairfax, VA 22030
E-Mail: wechsler@cs.gmu.edu
WWW: http://chagall.gmu.edu

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Introduced as a patent in 1962, the Hough transform has motivated
great interest as a potentially effective technique for real-time
pattern recognition, being applied to the most diverse situations
ranging from astronomy to biscuit quality control. Despite the seeming
simplicity of the technique, those who have tried to apply it to more
demanding problems soon realized that the approach entails a series
of not so straightforward problems, such as those caused by the
discrete nature of the image and parameter spaces, which have motivated
a series of investigations and publications. In fact, some of the
most interesting and fruitful works on Hough transform have been
characterized by an integrated approach considering the relationships
between the Hough transform and other related and complementary areas
and techniques such as discrete geometry; projections; Radon, Fourier,
and Gabor transforms; and matched filtering, to name but a few.

After so many years of investigations on the Hough transform, a
number of questions remain to be answered, such as:

* Should the Hough transform be treated as a technique in itself or
only a special case of more general concepts?
* Have we fully understood and circumvented the Hough transform
shortcomings?
* How does the Hough transform compare with alternative techniques?
* What are the most effective algorithms for real-time applications?
* How can the Hough transform be effectively implemented in software
and hardware?

* In brief: Has the Hough transform come of age?

Every relevant and original development which can help to answer such
questions is welcomed for appreciation for the Special Issue of
JRTI.

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IMPORTANT DATES:

* 15th sep. 1997 - submission of five copies of the article;

* 15th dec. 1997 - authors informed about acceptance;

The INFORMATION TO AUTHORS can be found at the following address:

http://www.hbuk.co.uk/ap/journals/ri.htm

All submissions should be forwarded to Luciano da Fontoura Costa
(address as above).

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