3-D Computer Vision - Principles, Algorithms and Applications (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	2023
First published:	2023
Authors:	Yu-jin Zhang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	444
Edition:	1st ed. 2023
ISBN-13:	978-981-19-7579-0
Languages:	English
Subtitles:	Chinese
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-19-7579-5
Barcode:	9789811975790

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