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VISION-LIST Digest Volume 12 Issue 36
VISION-LIST Digest Mon Aug 16 10:28:57 PDT 93 Volume 12 : Issue 36
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Today's Topics:
Economics of Computer Vis/Image Process Sys?
Snakes program
About VW auto parking
Calculation of intermediate perspective views
Stereo matching shareware?
CFP: ISIKNH'94
AAAI Fall Symposium on Machine Learning and Computer Vision
Image/Text Separation (long)
Books for Visual Perception course (long)
----------------------------------------------------------------------
Date: Mon, 16 Aug 1993 17:15:47 GMT
From: isa5224@uiuc.edu (Irfan S. Ahmad)
Subject: Economics of Computer Vis/Image Process Sys?
Organization: Agricultural Engineering Department, University of Illinois
I am looking for the following information for a research project:
1. Economics of installing Computer Vision / Image Processing
Systems in any industrial application.($ figures / time
savings hrs).
2. Research on economics of vision systems (pointers to papers,
articles, tech reports)
3. Sites / information on comprehensive list of Computer Vision
Applications in industrial setting.
Please send any information to the following email address:
isa5224@age2.age.uiuc.edu
I thank you in anticipation.
------------------------------
Date: Tue, 10 Aug 1993 14:34:25 -0400 (EDT)
From: chebolu@cs.buffalo.edu (Sekhar K Chebolu)
Subject: Snakes program
hi,
are there any active contours(eg snakes) programs available
in public domain? if so, could someone mail the ftpsite/program
to me.
thanx
sekhar
email: chebolu@cs.buffalo.edu
[ Let me know and I will put it in the Archives.
phil... ]
------------------------------
Date: 13 Aug 1993 09:57:14 -0500
From: chensong@ccwf.cc.utexas.edu (Song Chen)
Organization: The University of Texas - Austin
Subject: About VW auto parking
Hello, I remembered that I saw a big news on TV about a year ago(is
that right?), the news said VolksWagon Co. developed the technology to
accomplish the auto parking of a car. Since I planned to do a software
simulation of this process, I really want to find out more about it. I
think the detail implementation might be secret, but general idea and
architecture maybe available in some papers(I guess...). In a common
sense, I have to think artifitial vision played a big part of it, at
least it has to be able to recognize the boundary of the road, curb,
and sensing the distance from the car in the front or(and) back. plus
controllers to apply forces on weels to make the car turn and move in
a fine speed. So, if any of you guys on the net knows more about the
info or sources of the info related to the topic, would you please
mail me the stuff you have. any response is deeply appreciated.
chensong@ccwf.cc.utexas.edu Thanx in advance :-)
------------------------------
Date: 11 Aug 1993 17:50:06 -0500
From: WERNER@vision.felk.cvut.cz
Organization: Czech Technical University
Subject: Calculation of intermediate perspective views
Hi,
I'm working on a problem of calculation of intermediate perspective
views (by interpolation between two or more characteristic views). I
have found very few informations about it. Please, does anybody know
about any relevant paper, research group, etc.? Thanks,
Tom
Tomas Werner
CTU Prague
werner@vision.felk.cvut.cz
------------------------------
Date: 11 Aug 1993 17:58:58 -0500
From: WERNER@vision.felk.cvut.cz
Organization: Czech Technical University
Subject: Stereo matching shareware?
Hi,
I need programs for stereo matching. Do you know, please, about any
ftp server with ready programs? Especially I'm interested in Ohta's-
Kanade's method using dynamic programming and Horaud's-Skorda's
method based on finding maximal cliques in compatibility graph.
Thanks,
Tom.
Tomas Werner
CTU Prague
werner@vision.felk.cvut.cz
[ Let me know and I will put the code in the Archives.
phil... ]
------------------------------
Date: Fri, 13 Aug 93 10:53:20 -0400
From: "Li-Min Fu" <fu@whale.cis.ufl.edu>
Subject: CFP: ISIKNH'94
CALL FOR PAPERS
International Symposium on Integrating Knowledge and Neural Heuristics
(ISIKNH'94)
Sponsored by University of Florida, and AAAI,
in cooperation with IEEE Neural Network Council,
and Florida AI Research Society.
Time: May 9-10 1994; Place: Pensacola Beach, Florida, USA.
A large amount of research has been directed
toward integrating neural and symbolic methods in recent years.
Especially, the integration of knowledge-based principles and
neural heuristics holds great promise
in solving complicated real-world problems.
This symposium will provide a forum for discussions
and exchanges of ideas in this area. The objective of this symposium
is to bring together researchers from a variety of fields
who are interested in applying neural network techniques
to augmenting existing knowledge or proceeding the other way around,
and especially, who have demonstrated that this combined approach
outperforms either approach alone.
We welcome views of this problem from
areas such as constraint-(knowledge-) based learning and
reasoning, connectionist symbol processing,
hybrid intelligent systems, fuzzy neural networks,
multi-strategic learning, and cognitive science.
Examples of specific research include but are not limited to:
1. How do we build a neural network based on {\em a priori}
knowledge (i.e., a knowledge-based neural network)?
2. How do neural heuristics improve the current model
for a particular problem (e.g., classification, planning,
signal processing, and control)?
3. How does knowledge in conjunction with neural heuristics
contribute to machine learning?
4. What is the emergent behavior of a hybrid system?
5. What are the fundamental issues behind the combined approach?
Program activities include keynote speeches, paper presentation,
panel discussions, and tutorials.
*****
Scholarships are offered to assist students in attending the
symposium. Students who wish to apply for a scholarship should send
their resumes and a statement of how their researches are related
to the symposium.
*****
Symposium Chairs:
LiMin Fu, University of Florida, USA.
Chris Lacher, Florida State University, USA.
Program Committee:
Jim Anderson, Brown University, USA
Michael Arbib, University of Southern California, USA
Fevzi Belli, The University of Paderborn, Germany
Jim Bezdek, University of West Florida, USA
Bir Bhanu, University of California, USA
Su-Shing Chen, National Science Foundation, USA
Tharam Dillon, La Trobe University, Australia
Douglas Fisher, Vanderbilt University, USA
Paul Fishwick, University of Florida, USA
Stephen Gallant, HNC Inc., USA
Yoichi Hayashi, Ibaraki University, Japan
Susan I. Hruska, Florida State University, USA
Michel Klefstad-Sillonville CCETT, France
David C. Kuncicky, Florida State University, USA
Joseph Principe, University of Florida, USA
Sylvian Ray, University of Illinois, USA
Armando F. Rocha, University of Estadual, Brasil
Ron Sun, University of Alabama, USA
Keynote Speaker: Balakrishnan Chandrasekaran, Ohio-State University
Schedule for Contributed Papers
Paper Summaries Due: December 15, 1993
Notice of Acceptance Due: February 1, 1994
Camera Ready Papers Due: March 1, 1994
Extended paper summaries should be
limited to four pages (single or double-spaced)
and should include the title, names of the authors, the
network and mailing addresses and telephone number of the corresponding
author. Important research results should be attached.
Send four copies of extended paper summaries to
LiMin Fu
Dept. of CIS, 301 CSE
University of Florida
Gainesville, FL 32611
USA
(e-mail: fu@cis.ufl.edu; phone: 904-392-1485).
Students' applications for a scholarship should also be sent
to the above address.
General information and registration materials can be obtained by
writing to
Rob Francis
ISIKNH'94
DOCE/Conferences
2209 NW 13th Street, STE E
University of Florida
Gainesville, FL 32609-3476
USA
(Phone: 904-392-1701; fax: 904-392-6950)
If you intend to attend the symposium, you may submit the following
information by returning this message:
NAME: _______________________________________
ADDRESS: ____________________________________
PHONE: ______________________________________
FAX: ________________________________________
E-MAIL: _____________________________________
------------------------------
Date: Thu, 12 Aug 93 17:42:02 EDT
From: Dr Kevin Bowyer <kwb@tortugas.csee.usf.edu>
Subject: AAAI Fall Symposium on Machine Learning and Computer Vision
AAAI Fall Symposium Series
Machine Learning in Computer Vision: What, Why and How?
Preliminary Program
October 22 - 24, 1993
Sheraton Imperial Hotel and Convention Center
Research Triangle Park
Raleigh, North Carolina
(registration is limited-- e-mail fss@aaai.org for registration information)
Friday, October 22
9:00 - 10:30-- Exciting and Controversial Invited talks on Learning and Vision
Task-Oriented Vision Learning, Tom Mitchell, Carnegie-Mellon University
In what sense might vision be learned?, Chris Brown, University of Rochester
11:00 - 12:30-- moderated by Diane Cook, University of Texas at Arlington
Incremental Modelbase Updating: Learning New Model Sites
Kuntal Sengupta and Kim L. Boyer, The Ohio State University
Learning Image to Symbol Conversion
Malini Bhandaru, Bruce Draper and Victor Lesser, University of Massachusetts at Amherst
Transformation-invariant Indexing and Machine Discovery for Computer Vision
Darrell Conklin, Queen's University
Recognition and Learning of Unknown Objects in a Hierarchical Knowledge-base
P.P. Das, S. Chaudhury, and L. Dey, I.I.T., Delhi
Discovering Object Models with Unsupervised Learning
C. K. I. Williams, R. S. Zemel, Univ. of Toronto; M. C. Mozer, Univ. of Colorado
2:00 - 3:30-- moderated by Pat Langley, Siemens Corporate Research
Learning and Recognition of 3-D Objects from Brightness Images
Hiroshi Murase and Shree K. Nayar, Columbia University
Adaptive Image Segmentation Using Multi-Objective Evaluation and Hybrid Search Methods
Bir Bhanu, Sungkee Lee, Subhodev Das, University of California
Learning 3D Object Recognition Models from 2D Images
Arthur R. Pope and David G. Lowe, University of British Columbia
Matching and Clustering: Two Steps Towards Automatic Objective Model Generation
Patric Gros, LIFIA, Grenoble, France
Learning About A Scene Using an Active Vision System
P. Remagnino, M. Bober and J. Kittler, University of Surrey, UK
4:00 - 5:30-- moderated by Bruce Draper, University of Massachusetts
Learning Indexing Functions for 3-D Model-Based Object Recognition
Jeffrey S. Beis and David G. Lowe, University of British Columbia
Non-accidental Features in Learning and Generalization
Richard Mann and Allan Jepson, University of Toronto
Feature-Based Recognition of Objects
Paul A. Viola, Massachusetts Institute of Technology
Knowledge Representation Development in Vision using Techniques of Machine Learning
D. Hutber, Murton and Sims, INRIA, France
Learning Correspondences Between Visual Features and Functional Features \\
Hitoshi Matsubara, Katsuhiko Sakaue and Kazuhiko Yamamoto, ETL, Japan
Saturday, October 23
9:00 - 10:30-- Exciting and Controversial Invited talks on Learning and Vision
Machine Learning and Computer Vision: An odd couple that could be ideal
Ramesh Jain, University of California at San Diego.
Topic to be announced
Rich Sutton, GTE Research Labs
11:00 - 12:30-- moderated by Sridhar Mahadevan, University of South Florida
Extending the Schema learning system
Bruce Draper, University of Massachusetts
Learning Symbolic Names for Perceived Colors
J.M. Lammens and S.C. Shapiro, SUNY Buffalo
Extracting a Domain Theory from Natural Language to
Construct a Knowledge Base for Visual Recognition
Lawrence Chachere and Thierry Pun, University of Geneva
Symbolic and Subsymbolic Learning with Structured Representations for Vision \\
Vasant Honavar, Iowa State University
2:00 - 3:30-- moderated by Randall Nelson, University of Rochester
A Classifier System for Learning Spatial Representations Based
on a Morphological Wave Propagation Algorithm
Michael M. Skolnick, R.P.I.
Evolvable Modeling: Structural Adaptation Through Hierarchical Evolution
for 3-D Model-based Vision
Thang C. Nguyen, David E. Goldberg, Thomas S. Huang, University of Illinois
Developing Population Codes for Object Instantiation Parameters
Richard S. Zemel, Geoffrey E. Hinton, University of Toronto
Integration of Machine Learning and Vision into an Active Agent Paradigm
on the Example of Face Recognition Problem
Peter W. Pachowicz, George Mason University
Assembly plan from observation
K. Ikeuchi and S.B. Kang, Carnegie-Mellon University
4:00 - 5:30-- moderated by Robin Murphy, Colorado School of Mines
Controlling Computers with Gloveless Gestures
Jakub Segen, A.T.\&T. Bell Laboratories
Learning Visual Speech
G. J. Wolff, K. V. Prasad, D. G. Stork & M. Hennecke, Ricoh California Research Center
Learning open loop control of complex motor tasks
Jeff Schneider, University of Rochester
Issues on Noise Tolerant Learning from Sensory Data
J. Bala and P. Pachowicz, George Mason University
Learning combination of evidence functions in object recognition
D. Cook, L. Hall, L. Stark and K. Bowyer, University of South Florida
Sunday, October 24
9:00 - 10:30-- moderated by Abraham Waksman, Air Force Office of Scientific Research
Exciting and Controversial Panel Discussion:
Managing resource boundedness and achieving scale-up
with the help of machine learning
11:00 - 12:30-- moderated by Bir Bhanu, University of California at Riverside
Learning for Vision: Up with the Gigabyte! Death to the Functional View!
Randal Nelson, University of Rochester
Learning to Eliminate Background Effects in Object Recognition
Robin R. Murphy, Colorado School of Mines
Learning a Representation for Efficient Recognition of a Large Number of Texture Classes
J. Bala, R. Michalski, and Wnek, George Mason University
Non-Intrusive Gaze Tracking Using Artificial Neural Networks
Dean A. Pomerleau, Carnegie Mellon University
Toward a General Solution to the Symbol Grounding Problem: Combining Learning and Vision
Paul Davidsson, Lund University
------------------------------
Date: Thu, 12 Aug 93 11:01:01 WST
From: ragu@iti.gov.sg (S. Ragupathi (MMC))
Subject: Image/Text Separation (long)
Hi,
Sometime back I requested for info on text and image separation in a document.
I have got several responses and I would like to thank all for the responses.
Some people have asked me to post the responses. The following list gives the
collection of papers on this topic. Hope, this will be of use to some out there.
***** Collection of Papers on Text/Image Separation *****
@string{scj = {Systems and Computers in Japan}}
@string{cvgip = {Computer Vision, Graphics and Image Processing}}
@string{cvgipgm = {CVGIP: Graphical Models and Image Processing}}
@string{pami = {IEEE Transactions on Pattern Analysis Machine Intelligence}}
@string{cm = {IEEE COMPUTER Magazine}}
@string{nzjc = {New Zeland Journal of Computing }}
@string{mva = {Machine Vision and Applications}}
@string{nh = {North-Holland, Pisa}}
@string{th = {Th{\`e}se de doctorat}}
@string{necrd = {NEC Research and Development}}
@string{jibm = {IBM Journal of Research and Development}}
@string{ws = {World Scientific}}
@string{icdar91 = {Proceedings of First International Conference on Document Ana
lysis, Saint-Malo, France}}
@string{inpg = {Institut National Polytechnique de Grenoble}}
@string{icpr82 = {Proceedings of 6th International Conference on Pattern Recogni
tion, Paris (Munich)}}
@string{icpr86 = {Proceedings of 8th International Conference on Pattern Recogni
tion, Paris (France)}}
@string{icpr90 = {Proceedings of 10th International Conference on Pattern Recogn
ition, Atlantic City, NJ (USA)}}
@string{icpr92 = {Proceedings of 11th International Conference on Pattern Recogn
ition, Den Haag (Netherlands)}}
@string{dcc92 = {Proceedings of Data Compression Conference, Las Alamitos,1992}}
@string{cvpr92 = {Proceedings of IEEE Conference on Computer Vision and Pattern
Recognition, Urbana Champaign, (USA)}}
@string{sspr92 = {Advances in Structural and Syntactic Pattern Recognition (Proc
eedings of International Workshop on Structural and Syntactic Pattern Recognitio
n, Bern, Switzerland)}}
@string{smpai = {Series in Machine Perception and Artificial Intelligence}}
@string{pmva88 = {Proceedings of IAPR Workshop on Computer Vision, Tokyo (Japan)}}
@string{pmva92="{Proc. of the Machine Vision Analysis, Tokyo, Japan}"}
@string{psmc87= "{ Proc. of the 1987 Int. Conf. on Systems, Man and
Cybernetics }"}
@article{fletcher-a-robust-pami-88,
AUTHOR = "Fletcher and R Kasturi",
TITLE = "{"A robust algorithm for text string separation from mixed
text/graphics images"}",
JOURNAL =pami
VOLUME="PAMI-10",YEAR=1988,NUMBER=6,PAGES="pp.910-918"}
@article{wahl82-block-segmentation-cvgip-82,
AUTHOR = "Wahl, F.M. and M.K.Y. Wong and R.G. Casey",
TITLE = "{"Block Segmentation and Text Extraction in Mixed Text/Image
Documents"}",
JOURNAL = cvgip,
VOLUME=20, YEAR=1982,PAGES="pp.375-390"}
@article{casey-intelligent-forms-jibm-90,
AUTHOR = "R. G. Casey and D. R. Ferguson",
TITLE = "{"Intelligent Forms Processing"}",
JOURNAL = jibm,
VOLUME =29, NUMBER=3,YEAR =1990,PAGES="pp. 435-450"}
@inproceedings{hoenes-separation-of-pmva92,
AUTHOR = "Hoenes and Zimmer",
TITLE = "{"Separation of textual and non-textual information within
mixed-mode documents"}",
BOOKTITLE =pmva92, YEAR=1992, PAGES="pp.71-74"}
@article{morishita-integrated-document-necrd-84,
AUTHOR = "Morishita and others",
TITLE = "{"Integrated Document Editing and Organizing System (IDEOS)"}",
JOURNAL = necrd,
VOLUME=73, MONTH="April",YEAR=1984, PAGES="pp.***"}
@article{kahan-on-the-pami-87,
AUTHOR = "Simon Kahan and others" },
TITLE ="{"On the Recognition of Printed Characters of Any Font and
Size"}",
JOURNAL=pami
VOLUME="PAMI-9",NUMBER=2, YEAR=87, PAGES="pp.274-288"}
@inproceedings{iwaki-a-segmentation-psmc87,
AUTHOR = "Osamu Iwaki and H Arakawa",
TITLE = "{" A Segmentation Method Based on Office Document
Hierarchical Structure"}",
BOOKTITLE= psmc87, YEAR=1987, PAGES="pp.759-763"}
@incollection{lippmann-data-structures-book-86,
AUTHOR = "Lippmann, C. and Scherl, W."},
TITLE = "{"Data Structures for Document Analysis"}",
BOOKTITLE = "{"SIGNAL PROCESSING III: Theories and Applications"}",
EDITOR="I. T. Young and others",
PUBLISHER = "Elsevier Science Publishers B.V. (North Holland)", YEAR=1986,
PAGES="pp.613-616"}
@article{nadler-a-survey-cvgip-84,
AUTHOR ="M. Nadler"},
TITLE = "{"A Survey of Document Segmentation and Coding Techniques"}",
JOURNAL = cvgip,
VOLUME=28, YEAR= 1984, PAGES="pp. 240-262"}
@article{hase-segmentation-method-scj-85,
AUTHOR ="M. Hase and Y. Hoshino",
TITLE = "{"Segmentation Method of Document Images by Two-Dimensional Fourier
Tranform"}",
JOURNAL =scj,
VOLUME = 16, YEAR = 1985, NUMBER = 3, PAGES ="pp. 38-47"}
@inproceedings{srihari-document-image-icpr86,
AUTHOR = "S.N. Srihari and G.W. Zack",
TITLE = "{"Document Image Analysis"}",
BOOKTITLE = icpr86, YEAR= 1986, PAGES = "pp. 434-436"}
@inproceedings{akiyama-automatic-reading-pmva88,
AUTHOR = "T. Akiyama and M. Hagita",
TITLE = "{"Automatic Reading System for Printed Documents"}",
BOOKTITLE = pmva88, YEAR = 1988, PAGES ="pp. 210-215}
@incollection{meynieux-office-paper-book-87,
AUTHOR = "E. Meynieux and W. Postl and S. Seisen and K. Tombre",
TITLE = "{"Office paper document analysis"}",
BOOKTITLE = "{"Office Systems: Methods and Tools"}",
EDITOR = "G. Bracchi and D. Tsichritzis",
PUBLISHER = nh, YEAR = 1987, PAGES = "pp.267-285"}
@inproceedings{postl-halftone-recognition-icpr82,
AUTHOR = "W. Postl",
TITLE = "{"Halftone Recognition by an Experimental Text and Facsimile
Workstation"}",
BOOKTITLE =icpr82, YEAR = 1982, PAGES = "pp. 489-491"}
@article{wong-document-analysis-jibm-82,
AUTHOR = "K.Y. Wong and R.G. Casey and F.M. Wahl",
TITLE = "{"Document Analysis System"}",
JOURNAL = jibm,
VOLUME = 26, YEAR = 1982, NUMBER = 6, PAGES = "pp. 647-656"}
@article{taxt-segmentation-of-pami-89,
AUTHOR = "T. Taxt and P.J. Flynn and A.K. Jain",
TITLE = "{"Segmentation of Document Images"}",
JOURNAL = pami,
VOLUME = "PAMI-12", YEAR = 1989, NUMBER = 12, PAGES = "pp.1322-1329"}
@inproceedings{baird-image-segmentation-icpr90,
AUTHOR = "H.S. Baird and S.E. Jones and S.J. Fortune",
TITLE = "{" Image Segmentation by Shape-Directed Covers"}",
BOOKTITLE = icpr90, YEAR =1990, PAGES = "pp. 820-825", VOLUME = 1}
@article{wang-classification-of-cvgip-89,
AUTHOR = "D. Wang and S.N. Srihari",
TITLE = "{"Classification of Newspaper Image Blocks Using Texture Analysis"}"
JOURNAL = cvgip,
VOLUME = 47, YEAR = 1989, PAGES = "pp. 327-352"}
@inproceedings{tang-document-analysis-icdar91,
AUTHOR = "Y.Y. Tang and C.Y. Suen and C.D. Yan and M. Cheriet"
TITLE = "{"Document Analysis and Understanding: A Brief Survey"}",
BOOKTITLE = icdar91, YEAR = 1991, PAGES = "pp.17-31", VOLUME =1}
@inproceedings{lefevre-document-segmentation-icdar91,
AUTHOR = "P. Lefevre and Y. Pedron",
TITLE ="{"Document Segmentation Software Implemented on a Transputer Net
ork"}",
BOOKTITLE = icdar91, YEAR = 1991, PAGES = "975-983", VOLUME = 2}
@phdthesis{aubert91,
AUTHOR = "M. Aubert",
TITLE = "{"Syst{\`e}me de binarisation optimale de documents"}",
YEAR = 1991,
SCHOOL = inpg,
TYPE = th}
@article{dengel-from-paper-cm-92,
AUTHOR = "A. Dengel and R. Bleisinger and R. Hoch and F. Fein and F. H{\
"o}nes",
TITLE = "{"From Paper fo Office Document Standard Representation"}",
JOURNAL = cm,
VOLUME = 25, YEAR = 1992, NUMBER = 7, PAGES = "pp. 63-67"}
@inproceedings{govindaraju-caption-aided-icpr92,
AUTHOR = "V. Govindaraju and S.N. Srihari and D.B. Sher",
TITLE = "{"Caption-aided Face Location in Newspaper Photographs"}",
BOOKTITLE = icpr92, YEAR = 1992, PAGES = "pp. 474-477", VOLUME = 1}
@inproceedings{sakai-page-segmentation-icpr92,
AUTHOR = "T. Sakai and T. Pavlidis",
TITLE = "{"Page Segmentation without Rectangle Assumption"}",
BOOKTITLE = icpr92, YEAR = 1992, PAGES = "pp. 277-280", VOLUME = 2}
@inproceedings{jain-on-texture-icpr92,
AUTHOR = "A.K. Jain and S.K. Bhattacharjee and Y. Chen",
TITLE = "{"On Texture in Document Images"}",
BOOKTITLE = cvpr92, YEAR = 1992, PAGES = "pp. 677-680"}
@inproceedings{jain-address-block-cvpr92,
AUTHOR = "A.K. Jain and S.K. Bhattacharjee",
TITLE = "{"Address Block Location on envelopes using Gabor filters:
supervised method"}",
BOOKTITLE = icpr92, YEAR = 1992, PAGES = "pp. **"}
** Not known at the moment.
@article{pavlidis-page-segmentation-cvgipgm-92,
AUTHOR = "T. Pavlidis and J. Zhou",
TITLE = "{"Page Segmentation and Classification"}",
JOURNAL = cvgipgm,
VOLUME = 54, YEAR = 1992, NUMBER = 6, PAGES = "pp. 484-496"}
@incollection{o'gorman-the-document-book-92,
AUTHOR = "L. O'Gorman",
TITLE = "{"The Document Spectrum for Bottom-Up Pages Layout Analysis"}",
BOOKTITLE = sspr92,
EDITOR = "H. Bunke", PUBLISHER = ws, YEAR = 1992,
PAGES = "pp. 270-279", VOLUME = 5, SERIES = smpai}
@article{kasturi-document-image-mva-92,
AUTHOR = "R. Kasturi and Lawrernce O'Gorman",
TITLE = "{" Document Image Analysis: A Bibliography"}",
JOURNAL = mva,
VOLUME = 5, YEAR = 1992, NUMBER = 5, PAGES = "pp. 231-243"}
@article{jain-text-segmentation-mva-92,
AUTHOR = "A.K. Jain and S.K. Bhattacharjee",
TITLE = "{"Text Segmentation using Gabor filters for automatic
document processing"}",
JOURNAL = mva,
VOLUME = 5, YEAR = 1992, NUMBER = 5, PAGES = "pp. 169-184"}
@article{chauvet-system-for-pr-93,
AUTHOR = "Philippe Chauvet and Jaime Lopez-Krahe and Erik Taflin etal.,",
TITLE = "{"System for an intelligent office document analysis,
recognition and description"}",
JOURNAL = pr,
VOLUME = 32, YEAR = 1993, NUMBER = 1-2, PAGES = "pp. 161-190"}
@article{saheed-processing-textual-nzjc-93,
AUTHOR = "Abdul Saheed and Ian H. Witten",
TITLE = "{"Processing Textual Images "}",
JOURNAL = nzjc,
VOLUME = 4, YEAR = 1993, NUMBER = 2, PAGES = "pp. 57-66"}
@inproceedings{witten-textual-image-dcc92,
AUTHOR = "Ian H. Witten and Timothy C Bell and Mary-Ellen Harrison etal.,",
TITLE = "{"Textual Image Compression "}",
BOOKTITLE = dcc92, YEAR = 1992, PAGES = "pp. 42-51"}
Thanks once again for the responses.
Ragu.
Dr. S. Ragupathi,
Information Technology Institute,
Singapore 0511
e-mail: ragu@iti.gov.sg
------------------------------
Date: Wed, 11 Aug 93 19:30:42 -0400
From: Jonathan A. Marshall <marshall@cs.unc.edu>
Subject: Books for Visual Perception course (long)
Here are the recommendations for Visual Perception textbooks that I received
during the past month. If there are any worthy or new references that would
be appropriate to include in this list, I'd be still be eager to receive
them.
Thanks to everyone who replied!
Pete Kaiser Hollis Weidenbacher
Roger Noss Bill Warren
Tom Banton David Coombs
Mike Landy Richard Mann
Mark Dubin Mark Kantrowitz
Dale Allen Robert O'Shea
Eric Gingold Denis Pelli
Russ Hamer Keith Humphrey
David Brainard Brian Wandell
David Honig Toby Christo1@fmi.ch
Lex Toet Hans Irtel
Peter Thompson Paul Knox
David Keeble Paul Taylor
Shardad Rasmjou Mark Fairchild
Chris Pribe Avi Naiman
Robert Savoy Frank Amthor
Fayez Shaheen Paul Havig
Mike Dawson Ian Harder
Lawrence Lifshitz Ellie Francis
Jeff Mulligan Hoover Chan
Russell Mast Youngjae Lee
Patrick Cavanagh Bob Hodgson
Ken Alexander Pengcheng Shi
John Sasso Fred Owens
Laurence Harris Joseph Provine
Randy Blake Michael Gennert
Jack Casey Tim Davis
Dario Floreano Dmitry Trikoz
Woody Petry Paul Eisen
Jerome Yuzyk Adam Reeves
Martin Levine Andrew Hsu
Horst Bischof Roger Boyle
Anya Hurlbert Alan Lim
Grant Munsey George Chaikin
Whoi-Yul Kim Jim Zacks
Tony Lindeberg
Jonathan Marshall
*****
On Wed, 30 Jun 1993 I wrote:
> I will be teaching an introductory graduate-level course on Visual
> Perception this Fall, and I'm trying to find a good book or two to use
> as texts.
>
> I'd really appreciate any recommendations that you might be able to
> offer on appropriate books. I'm looking for books that contain
> substantial material on psychophysics, neurobiology, and computation
> related to vision.
>
> My course is normally taught in Psychology departments to introduce
> Psychology students to visual perception. My course will have the
> additional purpose of introducing Computer Science students (as well
> as Psychology students) to the subject.
>
> I will collect the replies and redistribute them electronically for
> everyone's benefit.
>
> Thanks!
>
> = Jonathan A. Marshall marshall@cs.unc.edu =
> = Department of Computer Science =
> = CB 3175, Sitterson Hall =
> = University of North Carolina Office 919-962-1887 =
> = Chapel Hill, NC 27599-3175, U.S.A. Fax 919-962-1799 =
*****
Date: Wed, 30 Jun 93 16:01:23 EDT
From: "Peter K. Kaiser" <PKAISER@VM1.YorkU.CA>
You might try Boynton's Human Color Vision. Of course the fact that I am
working on the second edition of this book has nothing to do with my
recommendation.
I understand via the rumor mill that Brian Wandell is working or may have
even finished what could be considered a replacement for Cornsweet's Visual
Perception.
I have used Levine and Sheffner's Fundamentals of Sensation and Perception
and really like it. It is about 3/4th's vision and the rest audition and the
minor senses. It is primarily a sensory physiology book.
Sincerely,
Pete
*****
Date: 30 Jun 1993 13:28:26 -0700 (MST)
From: "HOLLIS J. WEIDENBACHER" <HOWEIDEN@CCIT.ARIZONA.EDU>
Levine & Schefner's ""Fundamentals of Sensation & Perception" does a good
job (IMHO) covering psychophysics and general neurophysiology, -it does not,
however, address the computational slant. "Vision, Brain, Cooperative
Computation (Arbib & Hanson, Eds., I think it is 1987) is not a text, but a
collection of articles on computational vision, it might be worth looking
at.
Good luck,
H. Weidenbacher
*****
Date: Wed, 30 Jun 1993 15:37:42 -0500
From: roger@rod.swmed.edu (Roger S. Noss)
Cornsweet's 'Visual Perception' is old (1970) but a classic and easy reading
too. I recommend it at least for your students' reading list. While a
student at Berkeley I used Horn's 'Robot Vision' for a computer vision
course. It has since proved useful as reference for vector and matrix
operations. I'm looking forward to the results of your project.
Roger Noss
Dept. of Ophthalmology
UT Southwestern Medical Center at Dallas
roger@rod.swmed.edu
*****
Date: Wed, 30 Jun 1993 16:44 EST
From: WARREN%BROWNCOG.BITNET@BROWNVM.brown.edu
I recommend Bruce & Green's "Visual Perception: Physiology, Psychology,
Ecology" (Erlbaum). It combines computational, physiological, standard
psychology, and Gibsonian views, at an advanced undergraduate level that
would be appropriate for novice Psych grad students.
*****
Date: Wed, 30 Jun 93 17:02:02 -0400
From: Tom Banton <tab2v@fermi.clas.virginia.edu>
You might consider the book (I'm doing this from memory), The Neurobiology
of Visual Perception, edited by Werner & Spillman, and published I believe
in 1990. I may not be giving you the correct title, but the editors are
correct. The book covers a wide range of basic visual mechanisms, deals with
higher level problems such as illusory contours, motion, etc. The nice part
is it describes the phenomena psychophysically and also from a
neurophysiological standpoint. I use quite often for initial overviews. If
you want the full reference, let me know. Good luck.
Tom Banton
*****
Date: Wed, 30 Jun 93 17:06:37 -0400
From: David Coombs <coombs@cme.nist.gov>
Status: RO
Martin Levine's _Vision in Man and Machine_ is old (1985), but it might be
worth a look. It's slanted more toward computer vision than biological.
dave
*****
Date: Wed, 30 Jun 93 14:08:12 PDT
From: Michael Landy <msl@hermite.arc.nasa.gov>
I've taught undergraduate perception for years using Levine & Shefner, which
is probably the most difficult of the undergraduate texts, but is too easy
for graduate students. Barlow & Mollon's The Senses is reasonable at a
graduate level but is getting to be a bit out of date. There is a new book
by Roger Watt, but it doesn't seem aimed right either. Brian Wandell is
writing a book that could be excellent, but isn't done yet. I'm teaching
doctoral level perception in the fall for the first time and haven't decided
what I'm going to do either. I assume I'll use various reading such as:
Gulick: Hearing
Cornsweet
LeGrand (for photometry stuff)
Green&Swets, Bracewell, etc. (SDT, LST)
and greatest hits readings (Quick, Adelson/Bergen, Graham/Robson/etc., and
on and on).
Mike Landy
currently on sabbatical: msl@vision.arc.nasa.gov
mid-August onward: landy@nyu.edu
*****
From: Richard Mann <mann@vis.toronto.edu>
Date: Wed, 30 Jun 1993 17:30:10 -0400
As a student who came to vision from another field (engineering)...
I think David Marr's book is the best introduction to vision as a whole; it
presents both computational and psychological approaches to the problem.
You could have everyone read this book and then present the technical
details and recent developments for one area such as stereo or motion
perception.
Richard.
*****
Date: Wed, 30 Jun 1993 16:14:16 -0600
From: dubin@spot.colorado.edu (Mark Dubin, 492-5094, Academic Affairs)
You might want to look at "Visual Perception: The Neurophysiological
Foundations" edited by Lothar Spillman and John S. Werner, 1990, Academic
Press, ISBN 0-12-657676-9, available in paperback. It has good individual
writers and is thoughtfully planned for a course such as you are thinking
of.
Mark Dubin
*****
From: <mkant@GLINDA.OZ.CS.CMU.EDU>
Date: Wed, 30 Jun 93 18:22:44 EDT
Please send me a copy of the list of references you get, for inclusion in
the AI FAQ. FYI, enclosed is a copy of the relevant section of the AI FAQ.
mark
Subject: [20] Robotics and Computer Vision
John J. Craig, "Introduction to Robotics", Addison-Wesley,
Reading, MA, 1989.
Martin A. Fischler and Oscar Firschein, editors, "Readings in
Computer Vision", Morgan Kaufmann, San Mateo, CA, 1987.
J. Michael Brady, "Computational approaches to image understanding",
ACM Computing Surveys 14(1):3-71, March 1982. (Survey of methods in
computer vision.)
David Marr, "Vision: a computational investigation into the human
representation and processing of visual information", W.H. Freeman,
San Francisco, CA, 1982.
[Three papers in the Encyclopedia of Aritificial Intelligence are
relevant:
Path planning and obstacle avoidance, pages 708-715
Mobile robots, pages 957-961
Sensors, pages 1031-1036]
The 6.270 Robot Builder's Guide, by Fred Martin. Available by
anonymous ftp from kame.media.mit.edu (18.85.0.45) in
~ftp/pub/fredm/README or in cherupakha.media.mit.edu:pub/6270/docs
[18.85.0.47]. This directory contains "The 6.270 Robot
Builder's Guide", the course notes to the 1992 MIT LEGO Robot Design
Competition. For more information, contact Fred Martin
<fredm@media.mit.edu>.
*****
From: <dallen@jetson.uh.edu>
Date: Wed, 30 Jun 1993 17:30:38 -0800
Visual Perception by Tom N. Cornsweet, Academic Press. As far as I am
aware, the most current edition of the Cornsweet book was published in 1970.
However, I think you will find the content refreshingly current.
Good luck,
Dale Allen
*****
Date: Thu, 1 Jul 1993 10:18 +1300
From: "Robert P. O'Shea" <R_OSHEA@rivendell.otago.ac.nz>
I really like:
Sekuler, R., & Blake, R. (1990). Perception (2nd ed.). New York:
McGraw-Hill.
I understand that their 3rd edition is just about available. The 2nd edition
is a very readable, scholarly, and up-to-date, and I have no reason to
suppose the 3rd edition will differ. The only problems for your course is
that is has chapters on non-vision senses, and not much on computational
approaches. Maybe you could find another text that covers that approach.
What I can tell you, however, is that your psychology students will hate the
computational part!
I guess I should say I have no financial stake in sales of the book!
Cheers,
Robert.
Robert P. O'Shea
Department of Psychology Phone: +64 (3) 479 7617
University of Otago Fax: +64 (3) 479 8335
P.O. Box 56, Dunedin e-mail: r_oshea@otago.ac.nz
New Zealand
*****
Date: Wed, 30 Jun 93 17:56:07 CDT
From: eric@rad.uab.edu (Eric Gingold)
The classic book on vision science is by Marr. I believe it is called,
simply, "Vision". Another good book is "The Retina" by John E. Dowling
(Belknap Press, 1987)
Best of luck,
eric
Eric Gingold, Department of Radiology, University of Alabama at Birmingham
Birmingham, AL 35233 eric@rad.uab.edu (205) 934-3452
*****
Date: 30 Jun 1993 18:19:47 -0500
From: "Denis Pelli" <denis_pelli@isr.syr.edu>
here's what I use:
Clark, J. and Yuille, A. (1990) Data fusion for sensory information
processing. Norwell, MA: Kluwer Academic Press.
Cornsweet, T. N. (1970) Visual Perception. New York: Academic Press.
Landy, M. and Movshon, J. A. (1991) Computational Models of Visual
Processing. Cambridge: MIT Press.
Denis Pelli
Professor of Neuroscience
Syracuse University
*****
Date: Wed, 30 Jun 93 17:10:23 PDT
From: russ@skivs.ski.org (Russ Hamer)
try The Brain by David Hubel. Also check out chapter (or book?) by Frisbie:
good intro to neural processing of visual info, with interesting examples.
russ hamer (Smith-Kettlewell)
*****
From: <HUMPHREY@vaxr.sscl.uwo.ca>
Date: Wed, 30 Jun 1993 21:15:30 -0400 (EDT)
You might want to look at Roger Watt's book entitled "Understanding Vision"
(Academic Press, 1991). It is a bit idiosyncratic but very good in many
ways. Virtually no neurophysiology however. It is a bit tough going in
parts without some mathematics background.
Keith Humphrey
*****
Date: Wed, 30 Jun 93 18:29:24 PDT
From: brainard@psych.ucsb.edu (David Brainard)
Brian Wandell is writing a text that is basically what you want. Send mail
to brian@white.stanford.edu to see whether it is published yet.
David Brainard
*****
Date: Wed, 28 Jul 93 15:18:19 PDT
From: brian@white.Stanford.EDU (Brian Wandell)
I am not going to provide copies since the book should be finished within
the next academic cycle. You could mention that we hope to publish it in
the spring or early summer.
Regards,
brian
*****
Date: Wed, 30 Jun 1993 20:19:15 -0700
From: David Honig <honig@ruffles.ICS.UCI.EDU>
At the risk of starting an academic flame war, Marr's Vision (1982) is very
good: he is well versed in the biology of the visual CNS, being a
physiologist by training, but is also adept at explaining thhe computational
way of thhinking thhat he helped pioneer.
Depending on how much time you allocated for that text, you could have
everyone read certain core chapters and perhaps have some students prepare
other chapters.
David Honig
*****
From: <christo1@fmi.ch>
Date: Thu, 01 Jul 93 08:42:11 +0100
hello,
The best chapters on vision I have ever read can be found in : Principles of
Neuroscience; 3 rd edition 1991 Kandel; Schwartz: Jessel, Chapters: 28-31
(pp400-480). Hope that helps you on...
cu
Toby
*****
Date: Thu, 1 Jul 93 09:20:19 +0200
From: toet@izf.tno.nl (Lex Toet)
Vicki Bruce and Patrick R Green (1990)
Visual Perception: physiology, psychology and ecology
2nd ed
Lawrence Erlbaum, Hillsdale USA
Best wishes,
Lex Toet
*****
Date: Thu, 1 Jul 93 09:39:57 +0200
From: Hans Irtel x3856 <hans.irtel@rpss3.psychologie.uni-regensburg.de>
No book, but a computer program which contains all those color vision
demonstrations which usually are contained in vision books color pages, and
the demos are interactive!
The program is described in
Irtel, H. (1992). Color-vision demonstrations
on an IBM PC/AT with VGA. Behavior Research
Methods, Instruments, and Computers, 24, 88-89.
You get it from my server at 132.199.1.104 in directory pub/pxl file cvd.zip
via anonymous ftp.
same directory file cvd.Z is a X-Windows version of cvd for Sun Sparcs.
Hans
*****
Date: Thu, 1 Jul 93 9:32 BST
From: Peter Thompson <PT2%VAXA.YORK.AC.UK@ib.rl.ac.uk>
I don't know if your requirements for an undergraduate text are the same as
ours but I can give you some suggestions:
1. Goldstein Sensation and Perception 3rd Edition Wadsworth (1989). A solid
introductory text that the students like. Has an unusual (and successful)
chapter on movement perception describing "5 ways to make a light move".
2. Levine & Shefner Sensation and Perception 2nd Edition Brooks/Cole (1991).
Strong on neurophysiological approaches, sinewave gratings and the like. A
shame it doesn't include anything on the computational side.
3. Sekuler & Blake Perception 2nd Edition McGraw-Hill (1990). I ought to
like this book more than I do. The 2nd edition is printed on very thin paper
that makes it ghastly to read and the illustrations are dull. Also rather
too much on auditory, taste, smell, touch stuff. I am always suspicious of
vision people writing about other senses; they nearly always get it wrong.
4. Bruce & Green Visual Perception 2nd Edition Erlbaum (1990). A bizarre
book that covers much of what you will want and then a great deal on ecology
that you probably won't. A bit shakey on the physiology, but much better on
Marr etc than most.
5. Zeki A vision of the brain Blackwell (1993). Brand new though not a text
book. A possibility for final year or graduate students.
Hope this helps
Peter Thompson
*****
From: <pck@castle.edinburgh.ac.uk>
Date: Thu, 1 Jul 93 9:40:24 GMT
One book that would be ideal is "Theories of Visual Perception" by Ian
Gordon, published by John Wiley & Sons. The edition I've been reading is
1989, but there may be an updated version. It includes psycophysics
(Gestalt, Gibson) chpaters on neurobilogy (eg Hubel and Wiesel etc) and
computational theories (ie Marr etc).
Also, although it's probably not quite what your after, I've just finished
Zeki's new book ("A Vision of the Brain"). It really is a fascinating read,
and there are valuable lessons for the young contained in some of the
historical stuff about cortical localisation of different visual capacities.
Hope this helps.
Paul Knox.
*****
From: Dr D R T Keeble <eopa27@castle.edinburgh.ac.uk>
Date: Thu, 1 Jul 93 10:09:34 WET DST
Probably the best book would be David Marr's "Vision".
At a more basic level, I found Goldstein's "Sensation and Perception" very
useful when I first started in Vision.
Bruce and Green's "Visual Perception: Physiology, Psychology and Ecology"
has a lot of good stuff in it, although a bit too much Gibsonian material
for some people's taste.
For a very idiosyncratic treatment of the computational approach Roger
Watt's "Understanding Vision" would probably be worth looking at in parts.
There doesn't seem to be a good book on psychophysics per se. I wish someone
would write one!
The nicest book on neurobiology of vision I have come across is: "Visual
Perception: The Neurophysiological Foundations" edited by Spillmann and
Werner. Lots of good articles by many of the top people in the field. What I
found excellent about it was the way they link the psychophysical results to
the neurophysiology.
You seem to be teaching students from a wide variety of backgrounds -
perhaps you should use a wide variety of book?
Good luck!
David Keeble "I have discovered a wondeful proof that Go
Laboratory for Neuroscience is a forced win for white, but unfortunately
University of Edinburgh it is too large to write in this email
Scotland UK message..."
*****
Date: Thu, 1 Jul 93 10:12:29 BST
From: pt@acl.lif.icnet.uk (Paul Taylor <pt@acl.lif.icnet.uk>)
I'd be interested to hear what replies you get. I took a number of
perception courses as a Psychology undergraduate 1983-1986, I'd rather hope
that any reccommendations I might have would be out-of-date.
I guess David Marr's "Vision" is still very relevant.
I'm currently working in the interpretation of medical images by computer.
"Computer and Robot Vision" by Haralick and Shapiro is a text in the field.
"Digital Picture Processing" by Rosenfeld and Kak is a little older. Both
are probably a bit daunting for those with no interest in maths.
*****
From: rasmjou@xun.neuroinformatik.ruhr-uni-bochum.de (Shardad Rasmjou)
Date: Thu, 1 Jul 93 10:08:14 +0200
1 - Bridgeman, B. "The Biology of Behavior and Mind", 1988, Wiley & Sons.
[many good chapters on visual perception]
2 - Spillmann & Werner (eds.), "Visual Perception, The Neurophysiological
Foundations", 1990, Academic Press.
[could very well serve as THE single texbook, has so much in it]
3 - Bruce, V., Green, P., "Visual Perception. Physiology, Psychology and
Ecology", 1985, Lawrence Erlbaum Associates, London, Hillsdale,
New Jersey.
[has everything in it, albeit not all that up to date, but alright
for an introductory course]
4 - Barlow, Blakemore, Weston-Smith (eds), Images and Understanding",
1990, Cambridge Univ. Press.
[should be available for perusal, for stimulation and further
motivation]
5 - Watt, R., "Visual Processing: Computational, Psychophysical & Cognitive
Research", 1988, Lawrence Erlbaum Associates.
[easy mathematical analyses of feature detection; should be available
as a compendium for reference]
Maybe the above may help you.
Sincerely yours,
S. Rasmjou
*****
From: mdfpph@ultb.isc.rit.edu (M.D. Fairchild)
Date: Thu, 1 Jul 1993 09:11:26 -0400 (EDT)
I saw your post regarding vision books on comp.sci.image_processing. A book
that I have used for such a course was: Martin D. Levine, "Vision in Man and
Machine", McGraw-Hill, New York, 1985. It seems pretty good at both the
biological and computational topics.
-Mark
Mark D. Fairchild (mdfpph@ultb.rit.edu)
Munsell Color Science Laboratory
Center for Imaging Science
Rochester Institute of Technology
54 Lomb Memorial Drive
Rochester, New York 14623-5604
*****
From: <cpribe@cns.bu.edu>
Date: Thu, 1 Jul 93 09:17:32 -0400
A very good book is:
Spillman, L., and Werner, J. S., Visual Perception: The
Neurophysiological Foundations, Academic Press, 1990
-chris
*****
From: Avi Naiman <avi@cs.ust.hk>
Date: Thu, 1 Jul 1993 21:38:53 WST
A classic is Visual Perception by Tom Cornsweet, although it's somewhat
dated. Brian Wandell at Stanford <brian@psych.stanford.edu> is writing one
that I think will be superb, but I don't know if it will be ready for this
fall. I'd give you more suggestions, but I don't have access to my books
for the next couple of months (they're on a slow boat to Hong Kong).
*****
From: <SAVOY@RISVAX.ROWLAND.ORG>
Date: Thu, 1 Jul 1993 9:40:24 -0400 (EDT)
I'm sure you will get LOTS of recommendations for intro books on vision.
I'd like to mention some lesser known and lesser used books, that you should
mention for extra reading.
1) A Taxonomy of Visual Processes, by Uttal. Heavy on philosophical
organization of the material, in a manner that I find useful. Not to
everyone's taste.
2) A Vision of the Brain, by S. Zeki. Very recently published book on recent
advances in understanding localization of brain functions, with a heavy
emphasis on the history. Again, not an introductory text at all, but an
excellent addendum.
3) The Handbook of Perception and Human Performance, Volume I, ed. by Boff,
Kaufman and Thomas. This is an excellent high-level engineering-oriented
presentation of (among other things) the visual system. Important chapters
include "The Eye as Optical Instrument", "Sensitivity to Light", "Color
Appearance", "Colorimetry and Color Discrimination".
4) Eye, Brain, and Vision. A 1987 Scientific American BOOK by David Hubel.
This book is likely to be the most accessible to an introductory group.
Note: Books 2 & 4 are heavily oriented around neurophysiology, rather than
psychology. I don't really have a favorite text...I keep meaning to get
around to writing it...but don't expect it for your course.
Good Luck.
Robert Savoy
*****
Date: Thu, 1 Jul 93 08:54:20 CDT
From: amthor@cis.uab.edu (Frank Amthor)
There is a book edited by MS Landy and JA Movshon called "Computational
Models of Visual Processing" that you might want to look at. If you find
something better than this, would you let me know?
Frank Amthor (amthor@cis.uab.edu)
*****
Date: Thu, 1 Jul 93 11:13:19 -0400
From: Fayez S Shahin <fshahin@magnus.acs.ohio-state.edu>
Hi;
I recommend the text : Vision by David Marr. This text includes the basic
theories of vision.
F. Shaheen
The Ohio State University
Digital Photogrammetry Lab
*****
From: <D049PRH@UTARLG.UTA.EDU>
Date: 01 Jul 1993 10:54:42 -0500 (CDT)
I am a graduate student in the experimental psychology program at the
Universityof Texas at Arlington whos major interest is visual perception. I
suggest not using a book at all but rather using a collection of up to date
articles per each subject area. We just had a class in visual perception
and the reading list was a scaled down version of my qualification exam
reading list. Subtopicsinclude - spatial vision, fourier analysis,
psychophysics, physiology, visual search, visual attention, texture, pattern
perception, grouping etc. I do not feel any one book is adequate (esp. at
the graduate level) but there are a few books with good chapters to be used
without having to read the whole book..
DeValois R.L. and DeValois, K.K. (1990). Spatial Vision. Oxford University
Press
Barlow, H.B. and Mollon, J.D. (1989). The Senses. Cabridge University Press.
IMHO books are good for introduction but a good selection of recent articles
makes the reading (and class) much more dynamic and tangible.....it seems to
make people understand that there *are* people like us out there doing this
stuff.....anyway if you would like i could send you articles by topic that
we have used if you are interested
Paul Havig
Department of Psychology
University of Texas at Arlington
Box 19528
Arlington, Texas 76019
e-mail --> D049PRH@UTARLG.UTA.EDU (internet)
D049PRH@UTARLG (bitnet)
oh wait how could I have been so blasphemous......they *must* read at least
the first two chapters of Marr's book Vision to me Marr's three levels
should be the foundation of any serious visual research (computation,
representation and algorithm, and implementation)
hope this helps...
*****
From: <D049PRH@UTARLG.UTA.EDU>
Date: 01 Jul 1993 17:37:11 -0500 (CDT)
Here is a copy of my reading list from my qualification exam...has more refs
than the class list. Should also mention that I made this list up myself
for my qual exam and it was approved by two profs -- Ira Bernstein and Vince
Brown.
Psychophysics
Barlow, H.B. & Mollon, J.D.(1984). Psychophysical measurements
of visual performance. Chapter 7 in Barlow, H.B. & Mollon, J.D.
(Eds.) The Senses, (2nd. Ed.). Cambridge: Cambridge University
Press.
Engen, T.(1972a). Psychophysics I:Discrimination and Detection.
Chapter 1 in J.W. Kling & L.A. Riggs. (Eds.) Woodworth &
SchlossbergUs Experimental Psychology, (3rd. Ed.),Vol.1. New
York:Holt, Rinehart, and Winston.
Engen, T.(1972a). Psychophysics II:Scaling Methods. Chapter 2
in J.W. Kling & L.A. Riggs. (Eds.) Woodworth & SchlossbergUs
Experimental Psychology, (3rd. Ed.),Vol.1. New York:Holt,
Rinehart, and Winston.
(The Engen is an excellent intro to psychophysics...the first chapter is the
best...chapter two has a lot of thurstone scaling etc. not really that
necessary.....i only had both because my major prof--Ira Bernstein, decided
the scaling should be on the list also)
Signal Detection Theory
General Text:
Macmillan, N.A. & Creelman, C.D.(1991). Detection Theory: A UserUs
Guide. Cambridge: Cambridge University Press.
Specifics:
Nelson, T.O. (1986). ROC curves and measures of discrimination
accuracy: A reply to Swets. Psychological Bulletin, 100,
485-491.
Swets, J.A. (1986a). Indices of discrimination or diagnostic
accuracy: Their ROCs and implied models. Psychological
Bulletin, 99, 100-117.
Swets, J.A. (1986b). Form of empirical ROCs in discrimination and
diagnostic tasks: Implications for theory and measurement of
performance. Psychological Bulletin, 99, 181-198.
Vision
General Overviews:
Barlow, H.B. (1984). General principles: the senses considered as
physical instruments. Chapter 7 in Barlow, H.B. & Mollon, J.D.
(Eds.) The Senses, (2nd. Ed.). Cambridge: Cambridge University
Press.
Graham, N. (1989). Neurophysiology and Psychophysics. Chapter 1 in
Graham, N. Visual Pattern Analyzers, New York: Oxford
University Press.
Graham, N. (1989). Some Mathematics. Chapter 2 in Graham, N.
Visual Pattern Analyzers, New York: Oxford University Press.
Visual Cortex Neurophysiology
Barlow, H.B. (1972). Single units and sensation: A neuron doctrine
for perceptual psychology?. Perception, 1, 371-194.
Hubel, D.H. (1981). Evolution of ideas on the primary visual
cortex, 1955-1978: A biased historical account. Reimpression
de Les Prix Nobel en 1981, The Nobel Foundation.
Hubel, D.H. & Livingstone, M.S. (1987). Segregation of form,
color, and stereopsis in primate area 18. The Journal of
Neuroscience, 7, 3378-3415.
Livingstone, M.S. & Hubel, D.H. (1987). Connections between layer
4b of area 17 and thick cytochrome oxidase stripes of area 18
in the squirrel monkey. The Journal of Neuroscience, 7,
3371-3377.
Livingstone, M.S. & Hubel, D.H. (1987). Psychophysical evidence
for separate channels for the perception of form, color,
movement, and depth. The Journal of Neuroscience, 7, 3416-3468.
Livingstone, M.S. & Hubel, D.H. (1988). Segregation of form,
color, movement, and depth: Anatomy, physiology, and
perception. Science, 240, 740-749.
(note: lots of Hubel for historical significance and because I Hubel easy to
read)
Spatial Frequency Approaches
DeValois, R.L. & DeValois, K.K. (1990). Spatial Vision. New York:
Oxford University Press.
Woodhouse, J.M. & Barlow, H.B. (1984). Spatial and temporal
resolution and analysis. Chapter 8 in Barlow, H.B. & Mollon,
J.D.(Eds.) The Senses, (2nd. Ed.). Cambridge: Cambridge
University Press.
(as i mentioned before the DeValois book is very good....it is
listed as a whole book because that summer I read the whole thing)
Efferent Approaches
Coren, S. (1986). An efferent component in the visual perception
of direction and extent. Psychological Review, 93, 391-410.
Neogestalt Approaches
Leeuwenberg, E. & Boselie, F. (1989). Against the likelihood
principle in visual form perception. Psychological Review, 95,
485-491.
Binocular Perception
Blake, R. (1989). A neural theory of binocular rivalry.
Psychological Review, 96, 145-167.
Blake, R. & OUShea, R.P. (1988). RAbnormalS fusion of stereopsis
and Binocular Rivalry. Psychological Review, 95, 151-154.
Braddick, O.J. (1984). Binocular Vision. Chapter 10 in Barlow,
H.B. & Mollon, J.D.(Eds.) The Senses, (2nd. Ed.). Cambridge:
Cambridge University Press.
Fukuda, K. & Blake, R. (1992). Spatial interactions in binocular
rivalry. Jornal of Experimental Psychology: Human Perception
and Performance, 18, 362-370.
Wolfe, J.M. (1986). Stereopsis and binocular rivalry.
Psychological Review, 93, 269-282.
Wolfe, J.M. & Fanzel, S.L. (1988). Binocularity and visual search.
Perception & Psychophysics, 44, 81-93.
Texture Perception
Callagan, T.C. (1989). Interference and dominance in texture
segregation: Hue, geometric form, and line orientation.
Perception & Psychophysics, 46, 299-311.
Enns, J. (1986). Seeing textons in context. Perception &
Psychophysics, 39, 143-147.
Sutter, A., Beck, J. & Graham, N. (1989). Contrast and spatial
variables in texture segregation: Testing a simple spatial-
frequency channels model. Perception & Psychophysics, 46,
312-332.
Pattern Perception
Garner, W.R. (1988). Facilitation and interference with a
seperable redundant dimension in stimulus comparison.
Perception & Psychophysics, 44, 321-330.
Perceptual Organization
Pomerantz, J.R. (1991). The structure of visual configuartions:
Stimulus versus subject contributions. Chapter 13 in Lockhead,
G.R. & Pomerantz, J.R. (Eds.), The perception of structure:
Essays in honor of Wendell R. Garner. Washington, D.C.:
American Psychological Association.
Pomerantz, J.R., Pristach, E.A., & Carson, C.E. (1989). Attention
and object perception. Chapter 3 in Shepp, B. & Ballesteros, S.
(Eds.), Object perception: Structure and process. Hillsdale,
NJ: Erlbaum.
Treisman, A.M. & Gormican, S. (1988). Feature analysis in early
vision: Evidence from search asymmetries. Psychological Review,
95, 15-48.
Perceptual Independence
Ashby, F.G. & Townsend, J.T. (1986). Varieties of perceptual
independence. Psychological Review, 93, 154-179.
Wickens, T.D. & Olzak, L.A. (1989). The statistical analysis of
concurrent detection ratings. Perception & Psychophysics, 45,
514-528.
Visual Attention
Allport, A. (1989). Visual Attention. Chapter 16 in Posner, M.I.
(Ed.), Foundations of Cognitive Science, Cambridge, Mass: The
MIT Press.
Bravo, M.J. & Nakayama, K. (1992). The role of attention in
different visual-search tasks. Perception & Psychophysics, 51,
465-472.
Eriksen, C.W. & St.James, J.D. (1986). Visual attention within and
around the field of focal attention: A zoom lens model.
Perception & Psychophysics, 40, 225-240.
LaBerge, D.L. (1990). Attention. Psychological Science, 1,
156-162.
LaBerge, D.L. & Brown, V. (1989). Theory of Attentional Operations
in Shape Identification. Psychological Review, 96, 101-124.
Pashler, H. (1984). Evidence against late selection: Stimulus
quality effects in previewed displays. Journal of Experimental
Psychology: Human Perception and Performance, 10, 429-448.
Theeuwes, J. (1991). Exogenous and endogenous control of
attention: The effect of visual onsets and offsets. Perception
& Psychophysics, 49, 83-90
Visual Search
Duncan, J. & Humphreys, G.W. (1989). Visual search and stimulus
similarity. Psychological Review, 3, 433-458.
Duncan, J. & Humphreys, G.W. (1992). Beyond the search surface:
Visual search and attentional engagement. Journal of
Experimental Psychology: Human Perception and Performance, 18,
578-588.
Egeth, H. & Dagenbach, D. (1991). Parallel versus serial
processing in visual search:Further evidence from subaddative
effects of visual quality. Journal of Experimental Psychology:
Human Perception and Performance, 17, 551-560.
Eriksen, C.W. & Yeh, Y. (1985). Allocation of Attention in the
visual field. Journal of Experimental Psychology: Human
Perception and Performance, 11, 583-597.
Green, M. (1991). Visual search, visual streams, and visual
architectures. Perception & Psychophysics, 50, 388-403.
Pashler, H. (1987). Target-distractor discriminability in visual
search. Perception & Psychophysics, 41, 285-292.
Smid, H.G.O.M., Lamain, W., Hogeboom, M.M., Mulder, G., & Mulder,
L.J.M.. (1991). Psychophysical evidence for continuous
information transmission between visual search and response
processes. Journal of Experimental Psychology: Human Perception
and Performance, 17, 696-714.
Treisman, A. (1991). Search, similarity, and integration of
features between and within dimensions. Journal of Experimental
Psychology: Human Perception and Performance, 17, 652-676.
Treisman, A. (1992). Spreading suppression or feature integration?
A reply to Duncan and Humphreys(1992). Journal of Experimental
Psychology: Human Perception and Performance, 18, 589-593
Subliminal Perception
Bernstein, I.H., Bissonnette, V., Vyas, A., & Barclay, P. (1989).
Semantic priming: Subliminal perception or context?. Perception
& Psychophysics, 45, 153-161.
Bernstein, I.H., Bissonnette, V., & Welch, K.R. (1990). Perceptual
and response interactions in semantic priming. Perception &
Psychophysics, 48, 525-534.
Bernstein, I.H. & Welch, K.R. (1991). Awareness, false
recognition, and the Jacoby-Whitehouse effect. Journal of
Experimental Psychology: General, 120, 324-328.
Cheesman, J. & Merikle, P.M. (1984). Priming with and without
awareness. Perception & Psychophysics, 36, 387-395.
Cheesman, J. & Merikle, P.M. (1986). Distinguishing conscious from
unconscious perceptual processes. Canadian Journal of
Psychology, 40, 343-367.
Eriksen, C.W. (1960). Discrimination and learning without
awareness: A methodological survey and evaluation.
Psychological Review, 67, 279-300.
Farah, M.J. (1989). Semantic and perceptual priming: How similar
are the underlying mechanisms?. Journal of Experimental
Psychology: Human Perception and Performance, 15, 188-194.
Fowler, C.A., Wolford, G., Slade, R., & Tassinary, B. (1981).
Lexical access with and without awareness. Journal of
Experimental Psychology: General, 110, 341-362.
Holender, D. (1986). Semantic Activation without conscious
identification in dichotic listenting, parafoveal vision, and
visual masking: A survey and appraisal. Behavioral and Brain
Sciences, 9, 1-66.
Jacoby, L.L. & Whitehouse, K. (1989). An illusion of memory: False
recognition influenced by unconscious perception. Journal of
Experimental Psychology: General, 118, 126-135.
Lazarus, R.S. & McCleary, R.A. (1951). Autonomic discrimination
without awareness: A study of subception. Psychological Review,
58, 113-122.
Marcel, A.J. (1983). Conscious and unconscious perception:
Experiments on visual masking and word recognition. Cognitive
Psychology, 15, 197-237.
Marcel, A.J. (1983). Conscious and unconscious perception: An
approach to the relations between phenomenal experience and
perceptual processes. Cognitive Psychology, 15, 238-300.
Merikle, P.M. (1982). Unconscious perception revisited. Perception
& Psychophysics, 31, 298-301.
Miller, J. (1991). Threshold variability in subliminal perception
experiments: Fixed threshold estimates reduce power to detect
subliminal effects. Journal of Experimental Psychology: Human
Perception and Performance, 17, 841-851
(the over abundance of subliminal perception literature is due to the fact
that Ira Bernstein has for years been disproving most of the
claims........luckily for me I agree with him so this was a rather easy
section and is leading to my masters thesis)
Computational Theories of Vision
Marr, D. (1982). Vision: A computational investigation into the
human representation and processing of visual information.
San Francisco: W.H. Freeman.
Marr, D. & Poggio, T. (1979). A computational theory of human
stereo vision. Proceedings of the Royal Society of London,
Series B, 204, 301-328.
Pinker, S. (1 ). Visual Cognition: An introduction. Chapter 1 in
Visual Cognition, Cambridge, Mass: The MIT Press.
Ullman, S. (1984). Visual Routines. Cognition, 18, 97-160.
hope this helps
Paul Havig
D049PRH@UTARLG.UTA.EDU
******
Date: Thu, 1 Jul 93 10:11 MDT
From: mike@psych.ualberta.ca (Mike Dawson)
Given that this is a graduate level course with interdisciplinary
participation, I'd recommend Marr's (1982) Vision book. I think that it is
one of the few monographs around that presents a theoretical framework rich
enough for your psych, computing science, and neuroscience students to see
how they can be contributing to the same research problem.
Michael R.W. Dawson email: mike@psych.ualberta.ca
Biological Computation Project, Department of Psychology
University of Alberta, Edmonton, AB CANADA T6G 2E9
Tel: +1 403 492 5175 Fax: +1 403 492 1768
*****
Date: Thu, 1 Jul 1993 09:28:47 -0700
From: Ian Harder <harder@cs.sfu.ca>
You might try the following two books. They both seem to cover visual
perception in a fairly broad manner:
Visual Perception - Physiology, Psychology and Ecology, by Vicki Bruce and
Patrick Green, Lawrence Erlbaum Associates, London, 1985, ISBN 0-86377-013-4
Sensation and Perception, 2nd Ed., by E. Bruce Goldstein, Wadsworth
Publishing, 1984, ISBN 0-534-03035-1
I have no idea whether these are currently in print, but found them fairly
useful to cover issues of perception during my graduate studies in
Computational Vision.
Cheers,
Ian H.
| Ian Harder |
| Harder Software Ltd. Telephone: (604) 685-0067 |
| 612-1035 Pacific Street Facsimile: (604) 685-4800 |
| Vancouver, BC Internet: harder@cs.sfu.ca |
| Canada V6E 4G7 |
*****
Date: Thu, 1 Jul 93 12:31:09 -0400
From: lml@vision.ummed.edu (Lawrence Mark Lifshitz)
Vision in Man and Machine by M. Levine, McGraw Hill is one of the better
interdisciplinary books.
*****
Date: Thu, 01 Jul 1993 12:03:27 -0500 (EST)
From: Ellie Francis <FRANCIS@urvax.urich.edu>
Vicki Bruce & Patrick R. Green. (1990) Visual perception: Physiology,
psychology and ecology, 2nd ed. Hillsdale, Lawrence Erlbaum Assoc.
This is a GREAT book that presents the basics of both the computational and
ecological approaches to visual perception and supports the logic behind
both with ample examples from comparative vision. I really love it and hope
to use it to push undergraduates a bit beyond what they think they're
capable of. I believe it bills itself as being for advanced undergraduates.
However, I've used it twice with students in a general experimental master's
program. Only about 10% of them had ever had any perception before, and
many of those who hadn't thought it was too theoretical (they would have
preferred to look at a bunch of illusions and leave it at that, I think!!)
Good luck in your choices!
Regards,
Ellie Francis
Dept of Psychology
University of Richmond, VA
*****
Date: Thu, 1 Jul 93 10:46:04 -0700
From: Jeffrey Mulligan <jbm@eos.arc.nasa.gov>
When I taught Sensation & Perception (upper division class, intro to sensory
psych) I used Goldstein's book "Sensation & Perception." This book has been
around for a while, I used the 3rd ed. The publisher is Wadsworth, Belmont
CA, ISBN 0-534-09672-7.
There is another book by Blake & Sekuler, but I didn't think the coverage is
quite as good. It is more focussed on vision, while Goldstein covers all
the senses.
good luck and have fun,
Jeff Mulligan
jbm@vision.arc.nasa.gov
*****
From: Hoover Chan <hchan@well.sf.ca.us>
Date: Thu, 1 Jul 1993 11:05:36 -0700
I'd check out the following two books.
Fundamentals of sensation and perception / Michael W. Levine, Jeremy M.
Shefner.
Visual perception : the neurophysiological foundations / edited by Lothar
Spillmann, John S. Werner. <1990>
The first reference is an excellent introduction to sensory psychology. The
second one is aimed at a slightly higher level and focusses on vision.
For the Levine and Shefner book, check out the 2nd edition.
Hope this helps some. I've found these to be good references for teaching
and review.
Hoover Chan - hchan@well.sf.ca.us
{apple,ucbvax,pacbell,hplabs}!well!hchan
hchan%well.sf.ca.us@cunyvm.bitnet
*****
Date: Thu, 1 Jul 93 14:08:09 CDT
From: "Mast C.D.M." <rdm1@midway.uchicago.edu>
I would recommend Sekuler & Blake's _Perception_, but I'm biased. (Randy
Blake works down the hall.)
Another good one is David Hubel's _From Eye To Brain_. (I may be
remembering that title wrongly, not sure.)
It's got most of the basics, but it's from 1988, I believe, and contains a
bit of Hubel's personal opinions presented as facts, which they are not. In
fact, a good deal of research since this book has come out (and, according
to some, a bit from before then) goes against some of the claims. But, for
the most part, it's a simple and clear presentation of vision. (If I
understand the criticisms of the book correctly, which I might not, the main
problem is that Hubel oversimplifies a few things. Which, if I understand
computer vision folks, is probably the better direction in which to err.)
If this were a graduate level class, I would recommend _Introduction to
Visual Neurophysiology_, edited by Spillman & Werner. But, this is more of
a research book than a textbook, in my opinion, though it is a good
refereence, and you may want to consult it or chapters in it for a class.
I hope this has been helpful,
-Russell Mast
******
From: ylee1@cc.swarthmore.edu (youngjae lee)
Date: Wed, 30 Jun 1993 23:18:56 GMT
_Visual Perception: Physiology, Psychology, and Ecology_ 2nd Ed. by Vicki
Bruce and Patrick R. Green. an excellent text that is divided into three
sections, each describing the three different approaches to visual
perception. it doesn't really get into physiology(only 72 pgs out of almost
400 pgs) - the emphasis is more or less on David Marr and J.J.Gibson.
E.Bruce Golstein's _Sensation and Perception_ 3rd ed. is pretty good, also.
the emphasis is on physiological aspects of visual perception although it
touches upon different approaches as well.
jae lee
Youngjae Lee
Swarthmore College
Swarthmore, PA 19081-1397
ylee1@cc.swarthmore.edu
*****
Date: Thu, 1 Jul 93 16:41:45 -0400
From: "Patrick Cavanagh" <patrick@burrhus.harvard.edu>
Ken Nakayama and I like the Scientific American Readings in The Perceptual
World. [The book's title is The Perceptual World, Editor is Irvin Rock and
the publisher is Scientific American.] We did not like Bruce and Green when
we used it. I used to like Frisby's Seeing a lot for a graduate course but
it is getting a little long in the tooth.
Patrick Cavanagh
*****
From: <R.Hodgson@massey.ac.nz>
Date: Fri, 2 Jul 1993 10:04:06 +1200 (NZST)
Greatings from New Zealand!
Try Leibovic Science of Vision-Springer Verlag 1990(?)
and an old and trusted text-
Tom Cornsweet Visual Perception- A.P.
Bob Hodgson
*****
Date: Thu, 1 Jul 1993 17:09:12 CDT
From: "Ken Alexander (312) 996-5825" <U12940@UICVM.UIC.EDU>
A text to consider is "Fundamentals of Sensation and Perception" 2nd ed. by
Michael W. Levine and Jeremy M. Shefner, published by Brooks/Cole, CA Best
of luck with your course.
Ken Alexander
*****
From: xship@noodle.med.yale.edu (Peng-Cheng Shi)
Date: Thu, 1 Jul 1993 20:47:11 GMT
I would think the book "Science of vision" edited by K.N. Leibovic may meet
your needs. It was published by Springer-Verlag New York in 1990.
Hope this helps.
Pengcheng Shi
*****
From: John J. Sasso Jr. <sassoj@rpi.edu>
Date: Thu, 1 Jul 93 23:21:13 -0400
I'm also looking for a good book on vision from the computational side. The
only good one I've seen is by Marr, "Vision". It's old, but has some good
info in there on texture analysis and edge discrimination, and is cited in
much of the vision literature.
-- John
*****
From: <F_Owens@ACAD.FANDM.EDU>
Date: 02 Jul 1993 09:35:24 -0400 (EDT)
In response to your recent query, I would recommend the text by
Vicki Bruce & Patrick Green (1990) VISUAL PERCEPTION: Physiology,
Psychology, & Ecology, 2nd Ed. Hillsdale, NJ: Lawrence Erlbaum Assoc. ISBN
# 0-86377-146-7
This book is in a class of its own among perception texts, which generally
have much more glitz and far less theoretical depth. It is the only text I
know of that gives reasonably balanced and serious treatment of the three
leading (and contrasting) theoretical approaches to current research,
including Marr's computational approach. It also includes an excellent
cross-section of the empirical literature, from psychophysics & neuroscience
to computational algorithms to animal behavior. The coverage is unusually
broad and sophisticated, yet conceptually accessible to motivated students.
The only thing lacking are the 'bells & whistles' that have become standard
fare of texts these days -- no cute sidebars or boxes, no chapter study
sections. There are plenty of illustrations, but there are no color plates
(that's the only feature I really miss).
Bruce & Green's book is more challenging than 'standard' texts like those by
Sekuler & Blake; Schiffman; Goldstein; etc., and it is much broader in
perspective than such classics as Gibson's and Marr's. I have found it
doesn't fare so well with half-interested undergraduates [I suspect they
miss the glitz & resent the mind-stretching], but I would give it very
serious consideration for an entry level graduate course (or second-level
undergraduate course), most likely with a selection of supplementary items
from the primary literature.
Have fun!
Fred Owens
D. Alfred Owens
Whitely Psychology Laboratories
Franklin & Marshall College
Lancaster, PA 17604-3003
Voice: (717) 291-4202/3830
Fax: (717) 291-4387
*****
Date: Fri, 02 Jul 93 08:41:14 EDT
From: Laurence Harris <HARRISL@VM1.YorkU.CA>
This might turn out to be an interesting survey! I have been looking for a
book on Perception (not just vision) for a very low-level class that I teach
as part of York University's excellent "everyone in the whole University
must do at least one Science course" policy. I just haven't been able to
find one at the right level. Gregory's Eye and Brain was close but is just
too out of date now.
Here are some comments:
Sekuler and Blake: This sounds like it will be a very strong competitor for
Perception your particular needs. It has some holes eg. development
is pretty much left out and, curiously, given the authors,
motion perception is not very comprehensively covered.
But takes quite a neurobiological angle. Probably OK
for about a third year level course. Too long and
detailed as an intro in my opinion.
Goldstein: Rather similar to S/B but without the holes and with
Sensation and less detail and references. My choice (at the moment)
Perception as the lowest-level Perception book on the market. But
still too much for the intro class - and too little for
a third year class.
Bruce and Green: A very nice book indeed. Very comprehensive in its coverage
Visual Perception of the main approaches to Perception. Rather poor
quality of production with pictures in boxes and a curious
difficulty in keeping the hard back edition open. Suitable
a fourth year class that had already done more Perception
than would be in a Pscyh 101 class. Or even for a graduate
class as an intro at that level.
I'll send along a few more reviews later.....
*****
Date: Fri, 2 Jul 93 10:23:27 MDT
From: provine@enel.ucalgary.ca (Joseph Provine)
Hello! I am not a pro in this field. However, I have read some material in
this area recently. Here we go:
Vision by David Marr (Late of MIT). W. H. Freeman and Company.
To an extent ( a few chapters) of Digital Pictures: Representation and
compression by A. N. Netravali and B. G. Haskell (both with AT&T Bell Labs).
Plenum Press.
Handbook of sensory physiology v.7: Visual Psychophysics. Springer-Verlag.
There may be many more better books out there. Thought I would share some
of what I came across. Good Luck.
Joseph.
provine@enel.ucalgary.ca
*****
Date: 02 Jul 1993 12:24:22 -0600
From: blaker@ctrvax.Vanderbilt.Edu (Randolph Blake)
Hi, Some suggestions for a text for the graduate level course in visual
perception:
o Visual Perception, edited by Spillman and Werner - broad but uneven
coverage; fairly contemporary
o Visual Processing by Roger Watt - strong on computation, narrow focus,
very rigorous
Let me know what others suggest, as I'm teaching such a course Spring 1994.
Randy Blake
*****
Date: Fri, 2 Jul 93 13:32:11 -0400
From: michaelg@cs.WPI.EDU (Michael A. Gennert)
I recommend "Vision," by David Marr. Covers computational vision,
psychophysics, slight amount of neurobiology. - Mike Gennert
Prof. Michael A. Gennert
Computer Science Department
Worcester Polytechnic Institute
100 Institute Road
Worcester, MA 01609
Phone: 508-831-5476
Fax: 508-831-5776
Email: michaelg@cs.wpi.edu
*****
From: jackc@hp.desk.hp.com
Date: Fri, 2 Jul 92 14:30:00 -0400
Recommendations from Jack Casey, Colorado Springs Division, Hewlett Packard,
P.O. Box 2197, Colorado Springs, CO 80901-2197:
Marr, Vision
Hubel, Eye & Brain / Scientific American
Churchland & Sejnowski, Computational Brain
Dowling, Neurons & Networks
Kuffler, From Neuron to Brain
*****
From: <tldavis@Athena.MIT.EDU>
Date: Sun, 4 Jul 93 14:59:04 -0400
I don't know if these texts would be sufficient for the material which you
plan to cover, but I've found both of these to be extremely useful:
David Marr, VISION, ca. 1984, is a loosely-written monograph hastily put
together as the author was deteriorating (he died before the book was
complete) tells the story of vision for AI which was Marr's philosophy at
the time. It served as a nice introduction for me. I think it is
especially nice in that it attempts to play biology against practical
computational solutions for innovation.
Berthold K.P. Horn, Robot Vision, ca. 1988. This excellent text forms the
basis of Horn's graduate course at MIT. There is a heavy emphasis on
geometry and applied calculus of variations as Horn plows through the
continuous and discrete mathematics for understanding scenes, motion, etc.
The course is firmly on the side of computational vision for solving AI
problems, but might still be of use to psychologists.. The book may be
watered down in some places from the course material (which was rather dense
but exhuberant)... I don't well differentiate between my own lecture notes
and the text material.
It sounds to me like you might have in mind more of the type of material
which interests Steven Grossberg (?sp) at Boston University. Perhaps he has
written a text or can give you personal advice.
Good luck,
Tim Davis
P.S. I've gone a different direction myself; I'm a vision/AI/signal
processor turned to medical imaging, doing functional MRI of the brain,
trying to understand all I can about blood flow changes with neuronal
activation. We can actually see brain areas activating in real time.
Therefore, my knowledge about vision texts is somewhat dated. Good luck!
******
From: <dario@psicosun.univ.trieste.it>
Date: Mon, 5 JUL 93 10:12 GMT
I suggest you have a look at "Understanding Vision" by Roger Watt. I can't
remember exactly the publishing house, but it won't be difficult to find it
out. I think that the book fits very well the requirements of your course.
A free software (running under unix) can be obtained directly from the
author. The book has been used for advanced courses in psychology and MSc
courses in Neural Computation.
Best Regards,
-dario
| Dario Floreano O |
| / \ |
| Dept. of Experimental Psychology O O |
| University of Trieste, Italy / \ / \ |
| Via dell'Universita', 7 O O O |
| 34123-I Trieste |
| E-mail: dario@psicosun.univ.trieste.it |
| Voice: +39 40 676 7354 |
| Fax: +39 40 312272 |
******
From: Dmitry V. Trikoz <tdv@spcs.ms.kiev.ua>
Date: Fri, 4 Jan 80 13:30:22 +0300
I have read your message. Below I have listed two books that I think will be
helpful for you. Both of them concern the Neural Nets ONLY and available in
US. I know other ones, but I am not sure they were translated into English.
The books I can recommend:
1. R. Hecht-Nielsen "Neurocomputing". Excellent book to use as primary
guide to Neural Nets. The author - chief of the HNC firm.
2. D. Dayhoff "Neural Networks Architechtures". May be useful as an
introductory reading. The author - Ph.D. in Neurobiology (Univ. of PA, but
I'm not sure).
3. J.A. Freeman, D.M. Skapura 'Neural Networks: algorithms, applications and
programming techniques'.
Cordially,
Dmitry.
*****
Date: Mon, 5 Jul 93 12:07:14 EDT
From: "Heywood M. Petry" <HMPETR01@ULKYVM.LOUISVILLE.EDU>
Best single text is Spillmann, L. & Werner, J.S. (Ed.) VISUAL PERCEPTION:
THE NEUROPHYSIOLOGICAL FOUNDATIONS. New York: Academic Press, 1990.
Good luck. Woody Petry
Associate Professor of Psychology
Phone: (502)588-6031
******
Date: Mon, 5 Jul 93 08:22:55 EDT
From: "Paul S. Eisen" <EISEN@TOROLAB2.VNET.IBM.COM>
I highly recommend the following book, for it's comprehensive coverage and
outstanding readability:
Visual Perception, Tom Cornsweet, Academic Press, 1970
There may be a more recent edition, but I doubt that's necessary, given the
level of the course.
Paul Eisen
eisen@torolab2.vnet.ibm.com
*****
From: jerome.yuzyk@freddy.ersys.edmonton.ab.ca (Jerome Yuzyk)
Date: Sun, 4 Jul 93 12:39:00 -0520
"Seeing" by Frisby
"Vision" by Marr
I don't know if they're passe by now, but they cover most anything you'd
need, and the rest you can assign from recent research.
Jerome Yuzyk jerome.yuzyk@freddy.ersys.edmonton.ab.ca
a boy and his doo-dads Edmonton Alberta Canada
******
From: <REEVES@neu.edu>
Date: Tue, 06 Jul 1993 10:36:47 -0500 (EST)
I like Bruce and Green; my students were not so enthusiastic, as it does not
spoon feed - so you'd have to do this yourself. But the book is intelligent.
Adam.
*****
From: <magnuson@speech.spc.uchicago.edu>
Date: Tue, 6 Jul 93 12:17:32 CDT
i don't know of any good texts. i would, however, supplement the texts with
some current articles...
thanks,
Jim Magnuson
University of Chicago
Department of Psychology
magnuson@speech.uchicago.edu
******
Date: Wed, 7 Jul 1993 11:23:57 -0100
From: levine@mcrcim.mcgill.edu (Martin D. Levine)
vision in man and machine
Martin D. Levine
McGill University
Center for Intelligent Machines (CIM)
3480 University St., Montreal,Quebec,Canada,H3A 2A7
TEL (514) 398-7115 FAX (514) 398-7348
*****
Date: Wed, 7 Jul 1993 11:25:06 -0400
From: ahsu@akira.anatomy.upenn.edu (Andrew Hsu)
Hi there. I'd suggest using David Marr's _Vision_. While it slightly
outdated as far as technology is concerned, it does attempt to unify
psychophysics, neurobiology, and computation. There isn't any other book
that I know of that does a better job at combining all 3 approaches.
If you are looking for a more compuational approach to vision, try Berthold
Horn's _Robot Vision_.
Good luck.
--> Andrew Hsu
*****
From: horst@zun.neuroinformatik.ruhr-uni-bochum.de (Horst Bischof)
Date: Wed, 7 Jul 93 10:08:01 +0200
Hi, I think a good book for such a course would be computational vision by
Harry Wechsler.
Hope this helps,
Horst
Horst Bischof
Technical Univ. Vienna,
Dept. f. Pattern Recognition and Image Processing
e-mail: bis@prip.tuwien.ac.at
******
From: R D Boyle <roger@scs.leeds.ac.uk>
Date: Wed, 7 Jul 93 09:24:21 +0100
try
@book{ipamv93,
author="M Sonka and V Hlavac and R D Boyle",
title="Image Processing, Analysis and Machine Vision",
publisher="Chapman and Hall",
note="555pp",
year="1993 (to appear)"}
will be on the shelves this month.
Roger
*****
From: Anya Hurlbert <Anya.Hurlbert@newcastle.ac.uk>
Date: Wed, 7 Jul 93 18:40:58 BST
In response to your query, we find
Visual Perception: The Neurophysiological Foundations, Spillman, L. and
Werner, J. Eds, Academic Press,London
*quite* good. There are some mistakes in the sections on colour and some
lack of clarity in the stereo sections, but it does cover some
psychophysics, physiology, and a bit of computation.
Anya Hurlbert
University of Newcastle-upon-Tyne
******
From: Alan Wui Tze Lim <tapi2@central.sussex.ac.uk>
Date: Thu, 8 Jul 93 0:03:32 BST
HI, A good book that covers all aspects of computational vision is
Computation Vision, Harry Wechsler, Academic Press, 1990.
In terms of introducing the subject of image processing, the recomended
books are
Digital Image Proessing, William K. Pratt, John Wiley, 1991.
Digital Image Processing, RC Gonzalez and RE Woods, Addison Wesley,
1992.
HOpe this proves useful to you. Good luck!
- * - Alan Lim \/
| University of Sussex |
School of Engineering and Applied Sciences - * -
<> \ | / Spatial Modelling, Animation & Machine Vision Grp
- @ - Tapi2@central.sussex.ac.uk
/ | \ Tapi2@syma.sussex.ac.uk |
| Alanlim@gandalf.sussex.ac.uk <>
- * - Alanlim@eaps.sussex.ac.uk |
*****
Date: Thu, 8 Jul 93 08:09:27 -0700
From: grant@Manticore.COM (Grant J. Munsey)
This might seem a bit whacky but one of the most interesting books I have
found on visual perception is "The Joy of Drawing" by Bill Martin,
Watson-Guptill Publications, New York 1993. This book is about teaching art
students to understand how people interpret images. I am doing work on
extracting 3D models from images and I have gotten several insights from
this book. Generally I find that artists know a lot about image
understanding, they just don't realize that thats what they are doing!
Cheers,
Grant Munsey, Mainticore, Inc., (408)252-1135, fax: (408)446-9355
grant@manticore.com or uunet!ub-gate!gouche!grant
******
From: George Chaikin <gchaikin@phoenix.Princeton.EDU>
Date: Thu, 8 Jul 93 12:05:12 -0400
Sorry I don't know of a good text book for the course you describe, but in
view of its interdisciplinary character, may I suggest some supplementary
reading?
"The Science of Art - Optical themes in western art from Brunelleschi
to Seurat" by Martin Kemp, Yale University Press, 1990
George Chaikin
School of Architecture
Princeton University
******
From: Whoi-Yul Kim <wyk@utdallas.edu>
Date: Fri, 9 Jul 1993 16:25:54 -0500
"Computational Vision," by Wechsler from Academic Press or "Vision and Man
in Machine," by Levine from McGraw Hill seem to be a good choice for your
need. --yura
*****
Date: Tue, 13 Jul 93 10:54 EDT
From: "Jim.Zacks" <21759JLZ@msu.edu>
The following are things that I have seen ads for, ordered copies, but for
the most part haven't yet seen the books:
Zeki, Semir A Vision of the Brain. Blackwell Scientific Publications,
1993 isbn 0-632-03054-2 $36.95.
Humphreys, Glyn W., editor Understanding Vision. Blackwell Scientific
Publications, 1992 isbn 0-631-1709-7 cost ????
Buser, Pierre & Imbert, Michel (translated by R.H. Kay) Vision. MIT
Press (Bradford Books), 1992 (I don't know if this is the translation date
or original publication date) isbn 0-262-02336-9 $45.00.
There are also the standard textbooks:
Sekuler, R. & Blake, R. Perception. McGraw-Hill Publishing (2nd ed),
1990. isbn 0-07-056065-X.
Goldstein, E. Bruce Sensation and Perception, 3rd ed. Wadsworth
Publishing Co. isbn 0-534-09672-7.
Another book that is perhaps useable as a supplement to other things,
depnding upon the kind of course you teach is:
Barlow, H., Blakemore, C. & Weston-Smith, M.(eds.) Images and
Understanding. Cambridge University Press, 1990. isbn 0 521 36944 4.
I hope these are of some help, & look forward to hearing what others
have suggested.
Jim Zacks
*****
Date: Thu, 29 Jul 1993 16:19:44 +0200
From: Tony.Lindeberg@bion.kth.se
I assume that you have heard about the book "Vision" written by a number of
French researchers (published by MIT).
In fact, I'm also currently writing a book "Scale-Space Theory in Early
Vision", which deals with basic computational theory on multi-scale analysis
in general, and scale-space in particular. It will appear printed by Kluwer
Academic Publishers this Fall.
Tony Lindeberg
Tony Lindeberg
Computational Vision and Active Perception Laboratory (CVAP)
Department of Numerical Analysis and Computing Science
Royal Institute of Technology, S-100 44 Stockholm, Sweden
E-mail: tony@bion.kth.se; Phone: +46-8-7906205; FAX: +46-8-7230302
------------------------------
End of VISION-LIST digest 12.36
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