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2 produkter
2 produkter
538 kr
Skickas inom 10-15 vardagar
Pattern analysis and recognition pervade many aspects of our daily lives, including user authentication in banking, object retrieval from databases in the consumer sector, and the omnipresent surveillance and security measures around sensitive areas. Shape analysis---a fundamental building block in many approaches to these applications---is also used in statistics, biomedical applications (Magnetic Resonnance Imaging), and many other related disciplines. With contributions from some of the leading experts and pioneers in the field, this self-contained, unified volume is the first comprehensive treatment of theory, methods, algorithms, and programs available in a single resource. The book gives an overview of planar and three-dimensional shape analysis and reviews developments from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine."Statistics and Analysis of Shapes" will be an essential learning kit for statistical researchers, engineers, scientists, medical researchers, and students seeking a rapid introduction to the field.The book may be used as a textbook for a graduate-level special topics course in statistics and signal/image analysis, or for an intensive short course on shape analysis and modeling. Experienced researchers and practitioners in academia and industry needing a single and concise source of state-of-the-art techniques will also find this a useful book.
902 kr
Skickas inom 7-10 vardagar
This comprehensive guide offers a new approach for developing and implementing robust computational methodologies that uncover the key geometric and topological information from signals and images. With the help of detailed real-world examples and applications, readers will learn how to solve complex signal and image processing problems in fields ranging from remote sensing to medical imaging, bioinformatics, robotics, security, and defence. With an emphasis on intuitive and application-driven arguments, this text covers not only a range of methods in use today, but also introduces promising new developments for the future, bringing the reader up-to-date with the state of the art in signal and image analysis. Covering basic principles as well as advanced concepts and applications, and with examples and homework exercises, this is an invaluable resource for graduate students, researchers, and industry practitioners in a range of fields including signal and image processing, biomedical engineering, and computer graphics.