Computer vision : (Record no. 20486)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 17224176
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240718094944.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120323s2012 nyua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2012008187
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107011793 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
Item number .P75 2012
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Prince, Simon J. D.
245 10 - TITLE STATEMENT
Title Computer vision :
Remainder of title models, learning, and inference /
Statement of responsibility, etc. Simon J.D. Prince.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2012.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 580 p. :
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. 533-566) and index.
520 ## - SUMMARY, ETC.
Summary, etc. "This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. [bullet] Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry [bullet] A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking [bullet] More than 70 algorithms are described in sufficient detail to implement [bullet] More than 350 full-color illustrations amplify the text [bullet] The treatment is self-contained, including all of the background mathematics [bullet] Additional resources at www.computervisionmodels.com"--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Computer Graphics.
Source of heading or term bisacsh
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Cover image
Uniform Resource Identifier <a href="http://assets.cambridge.org/97811070/11793/cover/9781107011793.jpg">http://assets.cambridge.org/97811070/11793/cover/9781107011793.jpg</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type General Collection
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Home library Current library Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification   Kabarak, Main Campus Kabarak, Main Campus 18/07/2024 12321.00   TA1634 .P75 2012 c.1 34132 18/07/2024 18/07/2024 General Collection
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