Balıkesir Üniversitesi
Kütüphane ve Dokümantasyon Daire Başkanlığı

Computer vision : (Kayıt no. 41310)

MARC ayrıntıları
000 -LEADER
fixed length control field 03233 am a2200325 i 4500
001 - CONTROL NUMBER
control field 42783
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
Qualifying information hardback
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency DLC
-- BAUN
Description conventions rda
Language of cataloging eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library BAUN_MERKEZ
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1634
Item number .P75 2012
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Prince, Simon J. D.
Fuller form of name (Simon Jeremy Damion),
Dates associated with a name 1972-
245 10 - TITLE STATEMENT
Title Computer vision :
Remainder of title models, learning, and inference /
Statement of responsibility, etc Simon J.D. Prince.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice [2012]
Date of production, publication, distribution, manufacture, or copyright notice ©2012
300 ## - PHYSICAL DESCRIPTION
Extent xi, 580 pages :
Other physical details illustrations (some color) ;
Dimensions 26 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content Type Term text
Content Type Code txt
337 ## - MEDIA TYPE
Source rdamedia
Media Type Term unmediated
Media Type Code unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier Type Term volume
Carrier Type Code volume
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (pages 533-566) and index.
505 8# - FORMATTED CONTENTS NOTE
Title Machine generated contents note
-- Part I. Probability
-- 1. Introduction to probability; 2. Common probability distributions; 3. Fitting probability models; 4. The normal distribution; Part II. Machine Learning for Machine Vision
-- 5. Learning and inference in vision; 6. Modeling complex data densities; 7. Regression models; 8. Classification models; Part III. Connecting Local Models
-- 9. Graphical models; 10. Models for chains and trees; 11. Models for grids; Part IV. Preprocessing
-- 12. Image preprocessing and feature extraction; Part V. Models for Geometry
-- 13. The pinhole camera; 14. Models for transformations; 15. Multiple cameras; Part VI. Models for Vision
-- 16. Models for style and identity; 17. Temporal models; 18. Models for visual words; Part VII. Appendices
-- A. Optimization; B. Linear algebra; C. Algorithms.
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"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element COMPUTERS / Computer Graphics.
Source of heading or term bisacsh
710 2# - ADDED ENTRY--CORPORATE NAME
9 (RLIN) 72911
Corporate name or jurisdiction name as entry element Cambridge University Press.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Kitap
Mevcut
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Total Renewals Full call number Barcode Checked out Date last seen Date checked out Price effective from Koha item type
    Library of Congress Classification     Non-fiction Mehmet Akif Ersoy Merkez Kütüphanesi Mehmet Akif Ersoy Merkez Kütüphanesi Genel Koleksiyon 24/04/2017 Satın Alma 188.20 255.07.02.01.06- 8 15 TA1634 .P75 2012 042783 25/12/2023 12/06/2023 12/06/2023 24/04/2017 Kitap
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