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VISION-LIST Digest 1990 06 22
Vision-List Digest Fri Jun 22 09:46:14 PDT 90
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Today's Topics:
Help! On 3d reconstruction -- ellipsoid projection expression
report available
Image processing in C wanted
Pattern Recognition/Insect Taxonomy
Re: canonical image/vision books?
Research Positions in Vision
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Date: Fri, 22 Jun 90 10:47 EST
From: V079SPF5@ubvmsc.cc.buffalo.edu
Subject: Help! On 3d reconstruction -- ellipsoid projection expression
Organization: University at Buffalo
Dear Colleagues,
I'm studying on three-dimensional reconstructions. I found that the
analytic expression for ellipsoid projection in [1] (page 104) and the
one in [2] are different. The coefficient of "tr" is 2 in the former
and is 1 in the latter. Could you tell me which one is correct and
where I can found the whole procedure of the derivation? Any relevant
information would be appreciated!
[1] A. C. Kak and M. Slaney, "Principles of Computerized Tomographic Imaging",
IEEE Press, 1988
[2] A.C.Kak and B.Roberts, "Image reconstruction from projections," in
Handbook of Pattern Recognition and Image Processing, T.Y.Young and
K.S.Fu, Eds. New York, NY: Academic Press, 1986
Best wishes.
Sincerely yours,
Ge Wang
SUNYAB
------------------------------
Date: Fri, 22 Jun 90 13:40:37 +0200
From: ronse@prlb.philips.be
Subject: report available
The following paper (not yet published) is available. If you want a copy,
please send me your complete snail mail address (not your e-mail address!).
Christian Ronse
Internet: ronse@prlb.philips.be
BITNET: ronse%prlb.philips.be@cernvax
On The Idempotence Of Edge Detection
And The Relevance Of Energy Feature Operators
C. Ronse
PRLB Manuscript M342 (second version), June 1990
Abstract.
Owens et al. [O] investigated an important desirable property for edge
detection: the edge map E(I) of an image I is identical to its own edge
map E(E(I)), in other words the edge detection operation E is
_idempotent_, or a _projection_: E o E= E. Although they modelled the
edge map of a figure by a Dirac distribution, this map can more
generally be considered as a line edge. Thus an idempotent edge detector
must be able to detect line edges, and this is why pure step edge
detectors (e.g., gradient maximum, zero-crossing of convolution by the
Laplacian of a Gaussian, etc.) often fail to be idempotent. Some
idempotent edge detectors of the class of _energy_feature_detectors_
described in [O] (in particular the Gabor energy feature detector)
suffer from an important defect, their sensitivity to grey-level shift
in the original image, making them unsuitable for step edges. We recall
the Fourier phase and amplitude conditions outlined by Morrone [M] for
the class of energy feature detectors. We show that under the framework
of functions in L1 these conditions guarantee that an energy feature
detector E: (i) detects both ideal step and line/roof edges; (ii) is
invariant under grey-level shift in the original image; (iii) is
_overpotent_ (in other words E o E contains E) for one-dimensional
images. In practice it is often idempotent. Moreover (iv) the above
three properties do not change when the feature detector is preceded by
a smoothing by a Gaussian or any function in L1 having zero Fourier
phase. Interesting new properties of the model are derived. Some
concrete examples are given.
Key words.
Edge detection, edge map, idempotence, projection, energy feature
detector, Fourier phase and amplitude, quadrature.
(N.B.: Reference [O] is: Pattern Recognition Letters 9 (1989), pp.
233-244.)
------------------------------
Date: 20 Jun 90 08:42:55 GMT
From: tr@fctunl.rccn.pt (Thomas Rauber)
Subject: Image processing in C wanted
Organization: Universidade Nova de Lisboa -- Lisbon, Portugal
Dear Colleagues
We are building up a transputer environment on which we intend to
install a image processing system.
Therefor we look for a public domain image manipulation package
written in the C programming language.
( image storage, filtering, histogramming, slicing, blob processing etc.)
We remember to have seen a reference in the USENET NEWS a few weeks ago
but are no more able to retrieve the article.
We appeciate your help.
Sincerely
Thomas Rauber, M.M. Barata
Thomas W. Rauber | BITNET/Internet: tr@fctunl.rccn.pt
UNINOVA | UUCP: tr@unl.uucp
Grupo de Robotica Inteligente | Fax: (+351) (1) 295-5641/4461
2825 Monte Caparica, PORTUGAL | Phone: (+351) (1) 295-4464 x.0460
------------------------------
From: <bremel@calshp.cals.wisc.edu>
Date: Thu, 21 Jun 90 09:36:32 cdt
Subject: Pattern Recognition/Insect Taxonomy
We are involve in a viral epidemiology research project where one of the
types of data we collect is taxonomical information about insect's wing
pattern distribution. (The type of virus which they harbor and distribute
is related to their wing color patterns). We would be interested in
any software that might be useful in this type of categorization.
Robert D. Bremel
------------------------------
Date: Thu, 21 Jun 90 12:31:17 -0400
From: Frederic Leymarie <leyfre@shamash.McRCIM.McGill.EDU>
Subject: Re: canonical image/vision books?
Here are a few recent books which I believe could be included in your
"canonical list of important books on image analysis and vision".
%A J. Serra
%T Image Analysis and Mathematical Morphology
%I Academic Press
%C London, England
%D 1982
The "classic" book on mathematical morphology.
%A M. D. Levine
%T Vision in Man and Machine
%I McGraw-Hill
%C New York, USA
%D 1985
This one gives a good compromise between Biological visual systems
and the state of the art in Machine vision (up to 1985 of course).
%A B. K. P. Horn
%T Robot Vision
%I The MIT Press
%C Cambridge, Mass., U.S.A.
%D 1986
Emphasizes the important role of radiometry (e.g., shape from shading).
%A J. J. Koenderink
%T Solid Shape
%I The MIT Press
%C Cambridge, Mass., U.S.A.
%D 1990
A must for anyone interested in differential geometry and its applications
in engineering, especially in computer vision.
++++++
Frederic Leymarie (PhD student; Computer Vision)
McGill U., E.E. Dept., |tel: (514) 398-7156 (Ext.: 5992)
McConnell Eng. Bldg., Room 424, |FAX: (514) 398-7348
3480 University St., |Email: leyfre!mcgill-vision!uucp
Montreal, Qc., Canada, H3A 2A7. | leyfre@larry.mcrcim.mcgill.edu
------------------------------
Date: Thursday, 21 June 1990 13:48:27 EDT
From: Dave.McKeown@MAPS.CS.CMU.EDU
Subject: Research Positions in Vision
Post Doc Faculty Positions in Computer Science
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Applications are invited for a post-doctoral research faculty position
in the School of Computer Science at Carnegie Mellon University. This
position is tenable for two years with possibilities for appointment to
the regular Research or Systems Faculty track within the School.
The successful applicant will be expected to play a major role in the
current and future research efforts within the Digital Mapping Laboratory.
Our research is broadly focused on the automated interpretation of remotely
sensed data including high-resolution aerial imagery and multi-spectral
imagery such as SPOT, Landsat TM, and Daedalus scanner data. Current
areas of investigation include knowledge-based scene analysis, automated
acquisition of spatial and structural constraints, cultural feature
extraction (road network and building detection and delineation), automated
scene registration and stereo matching, parallel architectures for
production systems, and large-scale spatial databases.
A strong background in one or more of these or related areas is required.
Excellent written and verbal communication skills are also expected.
Applicants should send a curriculum vitae and names of at least three
references to:
David M. McKeown, Jr.
Senior Research Computer Scientist
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA 15213
dmm@cs.cmu.edu
Carnegie Mellon is an Equal Opportunity/Affirmative Action employer.
***********************************************************************
Research Staff Positions in Computer Science
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Applications are invited for a research staff position in the School
of Computer Science at Carnegie Mellon University. This position
is tenable for one year with possibilities for re-appointment and
promotion within the School. Appointments will be at the
Research Programmer, Senior Research Programmer, or Project Scientist
level depending on the qualifications and experience of the applicant.
The successful applicant will be expected to play a major role in the
current and future research efforts within the Digital Mapping Laboratory.
Our research is broadly focused on the automated interpretation of remotely
sensed data including high-resolution aerial imagery and multi-spectral
imagery such as SPOT, Landsat TM, and Daedalus scanner data. Current areas
of investigation include knowledge-based scene analysis, automated
acquisition of spatial and structural constraints, cultural feature
extraction (road network and building detection and delineation), automated
scene registration and stereo matching, parallel architectures for
production systems, and large-scale spatial databases.
We are looking for talented and motivated individuals who want to
work in a collaborative setting within a small research group.
Ideally, we like people who are taking a break from academic
studies but want to stay in a research setting. However, long-term
career opportunities are also quite possible within the School.
We expect increasingly significant experience in programming,
system building, and research at each of the appointment levels.
A strong background in computer vision and/or computer graphics
course work or experience and C / UNIX / X11 programming is required.
Excellent written and verbal communication skills are also expected.
Applicants should send a resume and names of three references to:
David M. McKeown, Jr.
Senior Research Computer Scientist
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
Pittsburgh, PA 15213
dmm@cs.cmu.edu
Carnegie Mellon is an Equal Opportunity/Affirmative Action employer.
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End of VISION-LIST
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