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Texts in Computer Science
cover

Computer Vision

Algorithms and Applications

Authors: Szeliski, Richard

  • Truly comprehensive computer vision textbook
  • Highly anticipated new edition updated with the latest state-of-the-art techniques, and featuring new material on machine learning, deep learning, and deep neural networks
  • Structured to support active curricula and project-oriented courses
  • Presents exercises and additional reading at the end of each chapter
  • Supplies supplementary course material for students at an associated website
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eBook  
  • ISBN 978-3-030-34372-9
  • Digitally watermarked, DRM-free
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Hardcover ca. $89.95
price for USA in USD
  • Due: January 11, 2021
  • ISBN 978-3-030-34371-2
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
About this Textbook

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques.

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; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at an associated website.

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 authors

​Dr. Richard Szeliski is a Research Scientist and the founding Director of the Computational Photography group at Facebook, as well as an Affiliate Professor at the University of Washington. Prior to joining Facebook, he led the Interactive Visual Media Group at Microsoft Research. He was awarded the IEEE Computer Society PAMI Distinguished Researcher Award in 2017.

Buy this book

eBook  
  • ISBN 978-3-030-34372-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover ca. $89.95
price for USA in USD
  • Due: January 11, 2021
  • ISBN 978-3-030-34371-2
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order

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Bibliographic Information

Bibliographic Information
Book Title
Computer Vision
Book Subtitle
Algorithms and Applications
Authors
Series Title
Texts in Computer Science
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-34372-9
Hardcover ISBN
978-3-030-34371-2
Series ISSN
1868-0941
Edition Number
2
Number of Illustrations
650 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.