04075nam 22007095 450 99654683240331620230131082345.0981-19-7580-910.1007/978-981-19-7580-6(MiAaPQ)EBC7188466(Au-PeEL)EBL7188466(CKB)26076435000041(DE-He213)978-981-19-7580-6(PPN)267812094(EXLCZ)992607643500004120230131d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrier3-D Computer Vision[electronic resource] Principles, Algorithms and Applications /by Yu-Jin Zhang1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (453 pages)Print version: Zhang, Yu-Jin 3-D Computer Vision Singapore : Springer,c2023 9789811975790 Includes bibliographical references and index.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.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.Computer visionImage processing—Digital techniquesImage processingComputer scienceUser interfaces (Computer systems)Human-computer interactionComputer VisionComputer Imaging, Vision, Pattern Recognition and GraphicsImage ProcessingTheory and Algorithms for Application DomainsComputer ScienceUser Interfaces and Human Computer InteractionComputer 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.006.37Zhang Yu-Jin1280710MiAaPQMiAaPQMiAaPQBOOK9965468324033163-D Computer Vision3017410UNISA