Welcome to P K Kelkar Library, Online Public Access Catalogue (OPAC)

Amazon cover image
Image from Amazon.com

Computer vision [2nd ed.] : algorithms and applications

By: Language: English Series: Texts in computer science | / edited by David Gries and Orit HazzanPublication details: Springer Nature 2022 SwitzerlandEdition: 2nd edDescription: xxii, 925pISBN:
  • 9783030343712
Subject(s): DDC classification:
  • 006.37 Sz25c2
Summary: 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.
List(s) this item appears in: New arrival July 18 to 24, 2022
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Books Books PK Kelkar Library, IIT Kanpur General Stacks 006.37 Sz25c2 (Browse shelf(Opens below)) Available A185871
Total holds: 0

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.

There are no comments on this title.

to post a comment.

Powered by Koha