Zhang Y. 3-D Computer Vision. Principles, Algorithms and Applications 2023

Textbook in PDF format

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.
Preface.
Computer Vision Overview.
Camera Calibration.
Three-Dimensional Image Acquisition.
Video Image and Motion Information.
Moving Object Detection and Tracking.
Binocular Stereo Vision.
Monocular Multiple Image Recovery.
Monocular Single Image Recovery.
Three-Dimensional Scenery Representation.
Generalized Matching.
Knowledge and Scene Interpretation.
Spatial-Temporal Behavior Understanding.
App. A: Visual Perception.
Answers to Self-Test Questions.
Index