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Computer Vision: Algorithms and Applications
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Computer Vision: Algorithms and Applications (Hardback)

£69.99
Pre-order for despatch on publication.

Synopsis

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.

Computing & ITComputer scienceArtificial intelligenceMachine learningComputing & ITComputer scienceImage processing Publisher: Springer Nature Switzerland AG Publication Date: 12/11/2020 ISBN-13: 9783030343712  Details: Type: Hardback Format: Books
Availability: Pre-order for despatch on publication. Pre-Order

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.

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