04272nam 22007695 450 991064778250332120241118131339.0981-19-7580-910.1007/978-981-19-7580-6(MiAaPQ)EBC7188466(Au-PeEL)EBL7188466(CKB)26076435000041(DE-He213)978-981-19-7580-6(PPN)267812094(EXLCZ)992607643500004120230131d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrier3-D Computer Vision 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 InteractionVisió per ordinadorthubProcessament digital d'imatgesthubLlibres electrònicsthubComputer 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.Visió per ordinadorProcessament digital d'imatges006.37Zhang Yu-Jin1280710MiAaPQMiAaPQMiAaPQBOOK99106477825033213-D Computer Vision3017410UNINA