Statistics and Analysis of Shapes - Rilegato

Rilegato

ISBN 10: 0817643761 ISBN 13: 9780817643768

Casa editrice: Springer Basel AG, 2006

Riassunto

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.

Su questo libro

Dalla quarta di copertina

The subject of pattern analysis and recognition pervades 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 Resonance 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, and algorithms, available in a single resource, without the typical quagmire of vast information scattered over a wide body of literature. Developments are discussed from a rapidly increasing number of research papers in diverse fields, including the mathematical and physical sciences, engineering, and medicine.

 

The initial chapters explore the statistical modeling of landmarks while subsequent chapters address the probabilistic modeling of entire shapes. The latter part of the book, with the exception of the last two chapters, concentrates on case studies as well as implementational and practical challenges in real systems. Extensive illustrations throughout help readers overcome the sometimes terse technical details of the geometric and probabilistic formalism. Knowledge of advanced calculus and basic statistics and probability theory are the only prerequisites for the reader.

 

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. It 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. The state-of-the-art techniques presented will also be useful for experienced researchers and practitioners in academia and industry.

Dettagli dell'edizione

• Editore: Springer Basel AG
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0817643761
• ISBN 13: 9780817643768
• Rilegatura: Copertina rigida
• Numero di pagine: 395
• Redattore: Krim Hamid, Yezzi Anthony
• Contatto del produttore: Springer-Verlag GmbH; customerservice@springernature.com; ; Tiergartenstraße 17; Heidelberg; Baden-Württemberg; 69121; Germania