Computer Vision : (Record no. 6638)

MARC details
000 -LEADER
fixed length control field 02514 a2200217 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251010093654.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030343712
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Item number SzeC
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Szeliski, Richard
245 ## - TITLE STATEMENT
Title Computer Vision :
Remainder of title Algorithms and Applications /
Statement of responsibility, etc Richard Szeliski
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Springer :
Place of publication Nature Switzerland ,
Year of publication ©2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxii,925p.
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Title Text in computer Science :
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.<br/><br/>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.<br/><br/>Topics and features:<br/><br/>Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses<br/>Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality<br/>Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects<br/>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.
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Topical Term Deep Learning
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Topical Term Motion Estimation
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Comutational Photography
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Print Price Bill Date/Price effective from Koha item type
      Electrical Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 07/10/2025 Shah Book House 5213.52 SBH/28599 006.37 SzeC (12178) 12178 7447.89 07/10/2025 Books