Dublin Core
Title
Computer Vision: Algorithms and Applications,2nd Edition
Creator
Richard Szeliski
Description
Computer Vision: Algorithms and Applications, 2nd Edition, 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 and for fun, consumer-level tasks that students can apply to their own personal photos and videos.
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.
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.
Subject
Microcomputer Applications
Publisher
Springer Nature
Date
2022
Format
PDF
Language
English
Type
Text