INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
1598291017 (electronic bk.)
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-58403
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Tensor voting
General Material Designation
[Book]
Other Title Information
:a perceptual organization approach to computer vision and machine learning
First Statement of Responsibility
/ Philippos Mordohai and G erard Medioni
EDITION STATEMENT
Edition Statement
1st ed.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Name of Publisher, Distributor, etc.
: Morgan & Claypool Publishers,
Date of Publication, Distribution, etc.
, c2006.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 electronic document (ix, 126 p.)
Other Physical Details
: , digital file.
SERIES
Series Title
(Synthesis lectures on image, video, and multimedia processing, 1559-8144
Volume Designation
; 8)
GENERAL NOTES
Text of Note
Part of: Synthesis digital library of engineering and computer science.
Text of Note
Series from website.
Text of Note
Title from PDF t.p. (viewed on Oct. 10, 2008).
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (p. 115-123).
CONTENTS NOTE
Text of Note
"This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is not in chronological order. It aims at presenting an approach to a wide range of problems in computer vision and machine learning that is data-driven, local and requires a minimal number of assumptions. The tensor voting framework combines these properties and provides a unified perceptual organization methodology applicable in situations that may seem heterogeneous initially. We show how several are inferred via tensor voting. The work presented here extends the original tensor voting framework with the addition of boundary inference capabilities; a novel re-formulation of the framework applicable to high-dimensional spaces and the development of algorithms for computer vision and machine learning problems. We show complete analysis for some problems, while we briefly outline our approach for other applications and provide pointers to relevant sources."--BOOK JACKET.
Text of Note
1. Introduction -- 2. Tensor voting -- 3. Stereo vision from a perceptual organization perspective -- 4. Tensor voting in ND -- 5. Dimensionality estimation, manifold learning and function approximation -- 6. Boundary inference -- 7. Figure completion -- 8. Conclusions.
SERIES
Title
Synthesis lectures on image, video, and multimedia processing
Volume Number
8
OTHER VARIANT TITLES
Variant Title
Synthesis digital library of engineering and computer science
TOPICAL NAME USED AS SUBJECT
Computer vision
Machine learning
Three-dimensional imaging
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Mordohai, Philippos.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Medioni, G erard
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
1598291009.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
1598291009.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
