000			03007nam 2200325| 4500
001			82729
005			20200325152145.0
010			_a978-0-8176-4481-9 _dcompra
090			_a82729
100			_a20190128d2006 k||y0pory50 ba
101			_aeng
102			_aUS
200			_aStatistics and analysis of shapes _bDocumento eletrónico _fedited by Hamid Krim, Anthony Yezzi
210			_aBoston, MA _cBirkhäuser _d2006
215			_aXII, 396 p. _cil.
225			_aModeling and Simulation in Science Engineering and Technology
300			_aColocação: Online
303			_aThe 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.
410			_x2164-3679
606			_aTopologia _xMétodos estatísticos
606			_aSistemas de reconhecimento de padrões
680			_aQA611
702			_aKrim _bHamid _4340 _932216
702			_aYezzi _bAnthony _4340 _932217
801			_gRPC _aPT
856			_uhttps://doi.org/10.1007/0-8176-4481-4
942			_2lcc _cF _n0