Table of contents
About this book
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.
Editors and affiliations
- Book Title Statistics and Analysis of Shapes
- Series Title Modeling and Simulation in Science, Engineering and Technology
- Series Abbreviated Title Modeling,Simulation in Science(Birkhäuser)
- DOI https://doi.org/10.1007/0-8176-4481-4
- Copyright Information Birkhäuser Boston 2006
- Publisher Name Birkhäuser Boston
- eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
- Hardcover ISBN 978-0-8176-4376-8
- eBook ISBN 978-0-8176-4481-9
- Series ISSN 2164-3679
- Series E-ISSN 2164-3725
- Edition Number 1
- Number of Pages XII, 396
- Number of Illustrations 143 b/w illustrations, 0 illustrations in colour
Mathematical Modeling and Industrial Mathematics
Probability Theory and Stochastic Processes
Statistics for Life Sciences, Medicine, Health Sciences
Signal, Image and Speech Processing
- Buy this book on publisher's site
- Industry Sectors
- Finance, Business & Banking
From the reviews:
"This edited volume is a state-of-the-art collection of papers in digital image processing and analysis. … The book is intellectually stimulating and written for researchers in electrical engineering, computer science, computational statistics, or applied mathematics. It will be useful for presentations in research seminars or in journal clubs in these areas." (Victor Patrangenaru, Journal of the American Statistical Association, Vol. 103 (484), December, 2008)