3-D computer vision : principles, algorithms and applications

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.