Computer Vision Algorithms and Applications (Record no. 814562)

MARC details
000 -LEADER
fixed length control field 03184nam a22002657a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240124s2022 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030343712
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9783030343712
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Item number SZE
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Szeliski, Richard
9 (RLIN) 879402
Relator term author
245 ## - TITLE STATEMENT
Title Computer Vision Algorithms and Applications
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham, Switzerland :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. c2022
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 925 p.
Other physical details : ill
490 ## - SERIES STATEMENT
Series statement Texts in Computer Science
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. Summary:<br/><br/>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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1730
Topical term or geographic name entry element Computer Vision
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image Processing
9 (RLIN) 2444
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 96
Topical term or geographic name entry element Computer Algorithms
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9783030343712.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9783030343712.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.vitalsource.com/products/computer-vision-richard-szeliski-v9783030343729 ">https://www.vitalsource.com/products/computer-vision-richard-szeliski-v9783030343729 </a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last checked out Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Hardcover     Reference Section Reference Section Reference Section 11/01/2024 41 Purchased 22822.59 1 006.37 SZE 98591 24/04/2024 24/04/2024 2023-2024 22822.58 11/01/2024 Reference Collection