3-D Computer Vision - Principles, Algorithms and Applications
| Verlag | Springer |
| Auflage | 2023 |
| Seiten | 448 |
| Format | 15,5 x 2,5 x 23,5 cm |
| Gewicht | 942 g |
| Artikeltyp | Englisches Buch |
| EAN | 9789811975790 |
| Bestell-Nr | 81197579DA |
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 hel p 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.
Inhaltsverzeichnis:
Chapter 1. Introduction.- Chapter 2. Camera Calibration.- Chapter 3. 3-D Image Acquisition.- Chapter 4. Video and Motion Information.- Chapter 5. Moving Object Detection and Tracking.- Chapter 6. Binocular Stereo Vision.- Chapter 7. Monocular Multiple Image Reconstruction.- Chapter 8. Monocular Single Image Reconstruction.- Chapter 9. 3-D Scene Representation.- Chapter 10. Scene Matching.- Chapter 11. Knowledge and Scene Interpretation.- Chapter 12. Spatial-Temporal Behavior Understanding.