001454440 000__ 03541cam\a2200517\i\4500
001454440 001__ 1454440
001454440 003__ OCoLC
001454440 005__ 20230314003519.0
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001454440 007__ cr\cn\nnnunnun
001454440 008__ 230208s2023\\\\si\a\\\\ob\\\\001\0\eng\d
001454440 019__ $$a1368310475$$a1368332897$$a1368367134$$a1368372152
001454440 020__ $$a9789811975806$$q(electronic bk.)
001454440 020__ $$a9811975809$$q(electronic bk.)
001454440 020__ $$z9789811975790
001454440 020__ $$z9811975795
001454440 0247_ $$a10.1007/978-981-19-7580-6$$2doi
001454440 035__ $$aSP(OCoLC)1369149170
001454440 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP
001454440 049__ $$aISEA
001454440 050_4 $$aTA1634
001454440 08204 $$a006.3/7$$223/eng/20230208
001454440 1001_ $$aZhang, Yu-Jin,$$d1954-$$eauthor.
001454440 24510 $$a3-D computer vision :$$bprinciples, algorithms and applications /$$cYu-Jin Zhang.
001454440 2463_ $$aThree-dimensional computer vision
001454440 264_1 $$aSingapore :$$bSpringer ;$$aBeijing :$$bPublishing House of Electronics Industry,$$c[2023]
001454440 264_4 $$c©2023
001454440 300__ $$a1 online resource (xiii, 448 pages) :$$billustrations (chiefly color)
001454440 336__ $$atext$$btxt$$2rdacontent
001454440 337__ $$acomputer$$bc$$2rdamedia
001454440 338__ $$aonline resource$$bcr$$2rdacarrier
001454440 504__ $$aIncludes bibliographical references and index.
001454440 5050_ $$aChapter 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.
001454440 506__ $$aAccess limited to authorized users.
001454440 520__ $$aThis textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, "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.
001454440 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 8, 2023).
001454440 650_0 $$aComputer vision.
001454440 650_0 $$aImage processing$$xDigital techniques.
001454440 655_0 $$aElectronic books.
001454440 77608 $$iPrint version: $$z9811975795$$z9789811975790$$w(OCoLC)1346351963
001454440 852__ $$bebk
001454440 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7580-6$$zOnline Access$$91397441.1
001454440 909CO $$ooai:library.usi.edu:1454440$$pGLOBAL_SET
001454440 980__ $$aBIB
001454440 980__ $$aEBOOK
001454440 982__ $$aEbook
001454440 983__ $$aOnline
001454440 994__ $$a92$$bISE