2D Computer Vision: Principles, Algorithms and ApplicationsКНИГИ » ПРОГРАММИНГ
Название: 2D Computer Vision: Principles, Algorithms and Applications Автор: Yu-Jin Zhang Издательство: World Scientific Publishing Год: 2022 Страниц: 556 Язык: английский Формат: pdf (true) Размер: 30.9 MB
This special compendium introduces the basic principles, typical methods and practical techniques of 2D computer vision. The volume comprehensively covers the introductory content of computer vision and the materials are selected based on courses conducted in the past 20 years.The useful textbook provides numerous examples and self-test questions (including hints and answers) through intuitive explanations to help readers understand abstract concepts.This unique reference text provides the first computer vision course service for undergraduates of related majors in university and colleges. It also allows teachers to carry out online courses and strengthen teacher-student interaction when teaching.
This book is a special textbook that introduces the basic principles, typical methods, and practical techniques of 2D computer vision. It can serve as the first computer vision course material for undergraduates of related majors in university and higher-engineering colleges, and then they can study “3D Computer Vision: Principle, Algorithm, and Applications”.
This book mainly covers the introductory content of computer vision from a selection of materials. This book is mainly for information majors but also useful for learners with different professional backgrounds. This book is self-contained in contents and also considers the needs of self-study readers. Readers can not only solve some specific problems in practical applications but also lay a foundation for further study and research on high-level computer vision technology.
This book generally considers the following three aspects from the knowledge requirements of the prerequisite courses: (i) mathematics, including linear algebra and matrix theory, as well as basic knowledge of statistics, probability theory, and random modeling; (ii) computer science, including the mastery of computer software technology, understanding of computer structure system, and application of computer programming methods; (iii) electronics, including on the one hand, the characteristics and principles of electronic equipment, and on the other hand, circuit design and other content. In addition, it is best to study this book after finishing the course on signal processing.
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2D Computer Vision: Principles, Algorithms and Applications 
