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3-D Computer Vision : Principles, Algorithms and Applications / by Yu-Jin Zhang.
- Format:
- Book
- Author/Creator:
- Zhang, Yu-Jin., Author.
- Series:
- Computer Science (SpringerNature-11645)
- Language:
- English
- Subjects (All):
- Computer vision.
- Image processing-Digital techniques.
- Image processing.
- Computer science.
- User interfaces (Computer systems).
- Human-computer interaction.
- Computer Vision.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Image Processing.
- Theory and Algorithms for Application Domains.
- Computer Science.
- User Interfaces and Human Computer Interaction.
- Local Subjects:
- Computer Vision.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Image Processing.
- Theory and Algorithms for Application Domains.
- Computer Science.
- User Interfaces and Human Computer Interaction.
- Physical Description:
- 1 online resource (XIII, 448 pages) : 1 illustrations
- Edition:
- 1st ed. 2023.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
- System Details:
- text file PDF
- Summary:
- 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, et cetera 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-19-7580-6
- 9789811975806
- Access Restriction:
- Restricted for use by site license.
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