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VISION-LIST Digest 1990 02 14
Vision-List Digest Wed Feb 14 12:02:51 PDT 90
- Send submissions to Vision-List@ADS.COM
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Today's Topics:
Re: Canny edge-detector
Re: Canny edge-detector
Re:Canny Edge detector
Computer vision for measuring highway traffic parameters
CVNet- OSA AND JOSA
Re: Searle on unconscious processes: BBS Call for Commentators
Table of Contents for CVGIP, Vol.49 Nos. 1 and 3
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Date: Fri, 9 Feb 90 11:26:35 CST
From: "William B. Thompson" <thompson@umn-ai.cs.umn.edu>
Subject: Re: Canny edge-detector
Organization: University of Minnesota, Minneapolis
>Can anyone point me in the direction of an alternative source of J.Canny's
>"Finding Edges and Lines in Images". It was originally a MIT AI Lab Report,
>AI-TR-720, 1983. However, I can not find this report, I am sure I have seen
>it or a similar article in a journal, though I can't remember which.
J. Canny, ``A Computational Approach to Edge Detection'', PAMI-8, #6,
November 1986.
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Date: Tue, 13 Feb 90 12:22:15 CST
From: hmueller@cssuN.tamu.edu (Harold E Mueller)
Subject: Re: Canny edge-detector
In response to Robert Nicholls (can't get mail to work to your site):
Another paper on the Canny edge detector is
Canny, J. F. A computational approach to edge detection. IEEE PAMI,
8(6):679-698, November 1986.
This paper is reprinted in the collection "Readings in Computer Vision:
Issues, Problems, Principles, and Paradigms", ed. Martin Fischler and
Oscar Firschein, Morgan Kaufmann Publishers, Inc., ISBN 0-934613-33-8.
Also referenced in that collection are the MIT AI Lab report you cited,
as well as
Canny, J. F. A variational approach to edge detection. Proc. National
Conf. on AI, pages 54-58, Washington, DC, August 22-26, 1983.
Someone told me a year ago that he had seen Canny's thesis on microfiche, also.
Hal Mueller hmueller@cssun.tamu.edu n270ca@tamunix (Bitnet)
Graduate Student, Department of Computer Science
Research Assistant, Department of Wildlife and Fisheries Science
Texas A&M University, College Station, TX 77843
------------------------------
Date: 12 Feb 90 17:05:49 GMT
From: Robert A Nicholls <ran@doc.imperial.ac.uk>
Subject: re:Canny Edge detector
Organization: Department Of Computing, Imperial College, London, England.
A big thank you to everybody who replied to my article requesting references
and code to the Canny Edge Detector.
Bob.
------------------------------
Date: 9 Feb 90 23:26:32 GMT
From: cstaley%polyslo.CalPoly.EDU@usc.edu (Clinton Staley)
Subject: Computer vision for measuring highway traffic parameters
Organization: Cal Poly State University -- San Luis Obispo
The Cal Poly Computer Science and Civil Engineering departments are performing
a study for CalTrans (the California Dept. of Transportation). The study
is evaluating the use of computer vision systems to automatically determine
the flow, speed, and density of highway traffic from cameras mounted along
the roadside. Also of interest would be systems that can determine the
composition of traffic flow (ratio of trucks to cars, etc.) and detect
incidents such as stalled vehicles and collisions.
If any readers have knowledge of existing systems that do this sort of thing
or could be readily adjusted to do so, we'd appreciate hearing about them.
We're also interested in academic studies/papers on this or related problems.
We've encountered a number of products/papers thus far, but want to be sure
our list is complete. Please send E-mail or paper mail to the addresses below.
Thanks,
Clinton Staley Dr. Clinton Staley
cstaley@polyslo.calpoly.edu Department of Computer Science
California Polytechnic State Univ.
San Luis Obispo, CA 93407
[ Please post your summary of related work when the compilation is complete.
phil... ]
------------------------------
< REPOSTED FROM CVNET >
Date: Wed, 14 Feb 90 13:41:24 EST
From: Color and Vision Network <CVNET%YORKVM1.bitnet@ugw.utcs.utoronto.ca>
To: Phil Kahn <pkahn@ads.com>
Subject: CVNet- Optics and Photonics Society
Earlier in the day I sent the communication seen below. A number of
people responded and wanted to know the proposed name. The proposal
is to change from Optical Society of America to Optics and Photonics
Society. Presumably JOSA would become Journal of Optics and Photonics
or JOP. One proposal is to have a vote at the Annual Business Meeting
contingent upon ratification of the voting members of the Society by
mail ballot after the Annual Meeting. (This information is from Optics
and Photonics News, February 1990, which I just received) Any OSA
member who wants a vote should let the OSA Board and Officers know as
Dr. MacAdam suggests below.
I received a letter from David MacAdam about the proposed
name change for the Optical Society of America. Apparently,
the plan is to vote on this at the OSA Business Meeting.
I agree with Dr. Macadam that this procedure is likely to miss a large
proportion of interested OSA members who would like their vote
to count. Those of us in VISION who have many publications in JOSA
might not approve at all of losing the journal by this name.
If you agree with Dave MacAdam that a change in the name of the
organization and the journal is a matter of sufficient importance
to require at least a mail ballot to canvas the whole membership,
please communicate as soon as possible with the OSA Officers
and Board of Trustees.
Peter Kaiser
------------------------------
Date: Wed, 14 Feb 90 12:55:16 EST
From: harnad@Princeton.EDU (Stevan Harnad)
Subject: Re: Searle on unconscious processes: BBS Call for Commentators
Below is the abstract of a forthcoming target article to appear in
Behavioral and Brain Sciences (BBS), an international, interdisciplinary
journal that provides Open Peer Commentary on important and
controversial current research in the biobehavioral and cognitive
sciences. Commentators must be current BBS Associates or nominated by a
current BBS Associate. To be considered as a commentator on this
article, to suggest other appropriate commentators, or for information
about how to become a BBS Associate, please send email to:
harnad@clarity.princeton.edu or harnad@pucc.bitnet or write to:
BBS, 20 Nassau Street, #240, Princeton NJ 08542 [tel: 609-921-7771]
Consciousness, Explanatory Inversion and Cognitive Science
John R. Searle
Department of Philosophy
University of California, Berkeley
Cognitive science typically postulates unconscious mental phenomena,
computational or otherwise, to explain cognitive capacities. The mental
phenomena in question are supposed to be inaccessible in principle to
consciousness. I try to show that this is a mistake, because all
unconscious intentionality must be accessible in principle to
consciousness; we have no notion of intrinsic intentionality except in
terms of its accessibility to consciousness. I call this claim the
Connection Principle. The argument for it proceeds in six steps. The
essential point is that intrinsic intentionality has aspectual shape:
our mental representations represent the world under specific aspects,
and these aspectual features are essential to a mental state's being
the state that it is.
Once we recognize the Connection Principle, we see that it is necessary
to perform an inversion on the explanatory models of cognitive science,
an inversion analogous to the one evolutionary biology imposes on
pre-Darwinian animistic modes of explanation. In place of the original
intentionalistic explanations we have a combination of hardware and
functional explanations. This radically alters the structure of
explanation, because instead of a mental representation (such as a
rule) causing the pattern of behavior it represents (such as rule
governed behavior), there is a neurophysiological cause of a pattern
(such as a pattern of behavior), and the pattern plays a functional
role in the life of the organism. What we mistakenly thought were
descriptions of underlying mental principles in, for example, theories
of vision and language, were in fact descriptions of functional aspects
of systems, which will have to be explained by underlying
neurophysiological mechanisms. In such cases what looks like
mentalistic psychology is sometimes better construed as speculative
neurophysiology. The moral is that the big mistake in cognitive science
is not the overestimation of the computer metaphor (though that is
indeed a mistake) but the neglect of consciousness.
Please note: The Searle Commentary is already oversubscribed, so
if you wish to comment, please describe the perspective you want
to bring to bear on the topic of unconscious processes in vision.
Stevan Harnad
[ Also note Searle has a paper in Scientific American this month.
phil... ]
------------------------------
Date: Fri, 9 Feb 90 17:13:53 -0800
From: bertolas@cs.washington.edu (William Bertolas)
Subject: Table of Contents for CVGIP, Vol.49 Nos. 1 and 3
Table of Contents for CVGIP, Vol.49 Nos. 1 and 3:
Computer Vision, Graphics, and Image Processing
Volume 49, Number 1, January 1990
CONTENTS
Pijush K. Ghosh. A Solution of Polygon Containment, Spatial Planning, and
Other Related Problems Using Minkowski Operations, p. 1.
M. Ibrahim Sezan. A Peak Detection Algorithm and Its Application to Histogram
Based Image Data Reduction, p. 36.
Song-Sheng Liu and M.E. Jernigan. Texture Analysis and Discrimination in
Additive Noise, p. 52.
NOTE
Sanjay K. Srivastava and Narendra Ahuja. Octree Generation from Object
Silhouettes in Perspective Views, p. 68.
C.J. Moran. A Morphological Transformation for Sharpening Edges of
Features before Segmentation, p. 85.
N. Kehtarnavaz and N. Griswold. Establishing Collision Zones for
Obstacles Moving with Uncertainty, p. 95.
Wei-Ming Lin and V.K. Prasanna Kumar. Efficient Histogramming on
Hypercube SIMD Machines, p. 104.
BOOKS RECEIVED FOR REVIEW, p. 121.
ANNOUNCEMENTS, p. 123.
ABSTRACTS OF PAPERS ACCEPTED FOR PUBLICATION, p. 125.
Computer Vision, Graphics, and Image Processing
Volume 49, Number 3, March 1990
CONTENTS
Alfred M. Bruckstein and Arun N. Netravali. On Minimal Energy
Trajectories, p. 281.
G.X. Ritter, J.N. Wilson, and J.L. Davidson. Image Algebra: An
Overview, p. 295.
Steven Connelly and Azriel Rosenfeld. A Pyramid Algorithm for Fast Curve
Extraction, p. 330.
S. Baronti, A. Casini, F. Lotti, L. Favaro, and V. Roberto. Variable
Pyramid Structures of Image Segmentation, p. 344.
NOTE
Akira Nakamura and Kunio Aizawa. Digital Squares, p. 355.
Gabriella Sanniti di Baja. O(N) Computation of Projections and Moments
from the Labeled Skeleton, p. 367.
Vijay Nagasamy and Noshir A. Langrana. Engineering Drawing Processing
and Vectorization System, p. 377.
Israel Amir. Algorithm for Finding the Center of Circular Fiducials,
p. 396.
ABSTRACTS OF PAPERS TO APPEAR, p. 405.
AUTHOR INDEX FOR VOLUME 49, p. 407.
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End of VISION-LIST
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