This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, “2D Computer Vision: Principles, Algorithms and Applications”), including the basic principles, typical methods and practical techniques. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc.
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This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, “2D Computer Vision: Principles, Algorithms and Applications”), including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc. 

The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields. 

To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content.

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Focuses on advanced computer vision and image understanding technologies Offers extensive content and intuitive explanations Includes a wealth of pictures, real-world examples and self-test questions
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Produktdetaljer

ISBN
9789811975820
Publisert
2024-02-02
Utgiver
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Graduate, E, 04
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
13

Forfatter