Download PDF Computer Vision: Algorithms and Applications / Edition 2 by

Computer Vision: Algorithms and Applications / Edition 2.

Computer Vision: Algorithms and Applications / Edition 2


Computer-Vision-Algorithms.pdf
ISBN: 9783030343712 | 925 pages | 24 Mb
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  • Computer Vision: Algorithms and Applications / Edition 2
  • Page: 925
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9783030343712
  • Publisher: Springer International Publishing
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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.

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(PDF) Computer Vision-Algorithms and Applications | Vance Wu
1 Introduction 1 What is computer vision? • A brief history • Book overview • Sample syllabus • Notation n^ 2 Image formation 27 Geometric primitives and 
Computer Vision: Algorithms and - Amazon.com
Computer Vision: Algorithms and Applications (Texts in Computer Science) 2nd ed. 2022 Edition. by Richard Szeliski (Author).
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Machine Vision Algorithms and Applications 2nd Edition
Machine Vision Algorithms and Applications - Kindle edition by Steger, Carsten, Ulrich, Markus, Wiedemann, Christian. Download it once and read it on your 
Machine Vision Algorithms and Applications 2nd Edition
The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years 

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