Computer vision : (Record no. 1936)

MARC details
000 -LEADER
fixed length control field 04227cam a22003495i 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-CaNGU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240131121446.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230829t2022 sz a fob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030343729
Qualifying information (electronic resource)
040 ## - CATALOGING SOURCE
Original cataloging agency EG-CaNGU
Language of cataloging eng
Transcribing agency EG-CaNGU
Modifying agency EG-CaNGU
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Szeliski, Richard,
Dates associated with a name 1958-,
Relator term author.
9 (RLIN) 5566
245 10 - TITLE STATEMENT
Title Computer vision :
Remainder of title algorithms and applications /
250 ## - EDITION STATEMENT
Edition statement Second edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham, Switzerland :
Name of producer, publisher, distributor, manufacturer Springer International Publishing, Springer Nature,
Date of production, publication, distribution, manufacture, or copyright notice [2022]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2022
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxii, 925 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Texts in computer science,
International Standard Serial Number 1868-095X
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 00 - FORMATTED CONTENTS NOTE
Formatted contents note 1 Introduction -- 2 Image Formation -- 3 Image Processing -- 4 Model Fitting and Optimization -- 5 Deep Learning -- 6 Recognition -- 7 Feature Detection and Matching -- 8 Image Alignment and Stitching -- 9 Motion Estimation -- 10 Computational Photography -- 11 Structure from Motion and SLAM -- 12 Depth Estimation -- 13 3D Reconstruction -- 14 Image-Based Rendering -- 15 Conclusion -- Appendix A: Linear Algebra and Numerical Techniques -- Appendix B: Bayesian Modeling and Inference -- Appendix C: Supplementary Material.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Available on-campus and off-campus.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. About the Author Dr. Richard Szeliski has more than 40 years' experience in computer vision research, most recently at Facebook and Microsoft Research, where he led the Computational Photography and Interactive Visual Media groups. He is currently an Affiliate Professor at the University of Washington where he co-developed (with Steve Seitz) the widely adopted computer vision curriculum on which this book is based.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
Source of heading or term NGU-sh
9 (RLIN) 4838
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing.
Source of heading or term NGU-sh
9 (RLIN) 5551
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
Source of heading or term NGU-sh
9 (RLIN) 3897
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Signal processing
General subdivision digital techniques.
Source of heading or term NGU-sh
9 (RLIN) 5033
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Materials
General subdivision analysis.
Source of heading or term NGU-sh
9 (RLIN) 5567
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Imaging systems.
Source of heading or term NGU-sh
9 (RLIN) 5568
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name Online resource.
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-3-030-34372-9">https://link.springer.com/book/10.1007/978-3-030-34372-9</a>
Public note Online resource.
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Arrivals Code Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
    Dewey Decimal Classification     Information Technology Online Online 08/29/2023 ITS202308 E1000046 08/29/2023 https://link.springer.com/book/10.1007/978-3-030-34372-9 08/29/2023 eBook