Yu-Jin Zhang
3-D Computer Vision: Principles, Algorithms and Applications
3-D Computer Vision: Principles, Algorithms and Applications
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- More about 3-D Computer Vision: Principles, Algorithms and Applications
This textbook covers advanced computer vision topics and is intended for graduate courses, covering basic principles, methods, and techniques. It is based on lecture notes and research publications and includes self-test questions for both teachers and self-learners.
Format: Paperback / softback
Length: 448 pages
Publication date: 02 February 2024
Publisher: Springer Verlag, Singapore
This comprehensive textbook delves into advanced topics in computer vision, providing a comprehensive foundation for students seeking to explore this field. It serves as a valuable resource for graduate courses, covering a wide range of related subjects such as Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, and more. The book is primarily based on the author's extensive lecture notes from various undergraduate and graduate classes, enriched by research publications co-authored with his students.
Recognizing the diverse needs of learners, the book caters to both professionals and self-learners alike. It offers a comprehensive approach, covering the fundamental principles, common methods, and practical techniques of computer vision. To enhance understanding, the book includes a wealth of self-test questions, accompanied by hints and answers. These questions serve multiple purposes: they assist teachers in conducting online teaching and engaging students during lectures, while also providing self-learners with a tool to assess their grasp of the key content.
By presenting the material in a clear and concise manner, the textbook makes it accessible to students with various professional backgrounds. It serves as a valuable reference guide for practitioners and professionals working in related fields, offering insights and practical applications of computer vision technologies. Whether you are a student embarking on a journey into computer vision or a seasoned professional seeking to expand your knowledge, this textbook is an indispensable resource.
Weight: 706g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811975820
Edition number: 1st ed. 2023
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