Computer Vision Algorithms and Applications (Record no. 814562)
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000 -LEADER | |
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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 |
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 |
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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 |