TY  - GEN
N2  - This 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.
DO  - 10.1007/978-981-19-7580-6
DO  - doi
AB  - This 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.
T1  - 3-D computer vision :principles, algorithms and applications /
AU  - Zhang, Yu-Jin,
CN  - TA1634
ID  - 1454440
KW  - Computer vision.
KW  - Image processing
SN  - 9789811975806
SN  - 9811975809
TI  - 3-D computer vision :principles, algorithms and applications /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7580-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7580-6
ER  -