yezzi anthony (6 Ergebnisse)

Zustand: New. pp. 400 Illus.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. 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. This title presents a comprehensive treatment of theory and methods of the field. Editor(s): Hamid, Krim; Yezzi, Anthony J., Jr. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 408 pages, 143 black & white illustrations, 4 black & white tables, biography. BIC Classification: PBMP; PBT; PBV; PBWH; UYQP; UYS. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 22. Weight in Grams: 1620. . 2006. 2006th Edition. hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Zustand: New. Practical applications: shape analysis is used in statistics, biomedical applications (Magnetic Resonance Imaging), and many other related disciplinesContributions from some of the leading experts and pioneers in the fieldSelf-contained, un.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 396 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Zustand: Neu. Neuware - Shapes have been among man's fascinations from thestoneage to thespace age. The scienti c study of shapes may indeed be traced back to D'Arcy Thompson in his pioneering book On Growth and Form where shape was shown to be dependent on functionality [6]. Numerous de nitions of a notion of a shape have been proposed in the past, each and every one highlighting aspects relevant to a particular application of interest. The advent of digital imagery, together with the ubiquitous exploitation of its characteristics in a variety of applications, have triggered a renewed and keen interest in further re ning and possibly unifying the notion ofshape. The present contributed book is, to a large extent, motivated by this upsurge in activity and by the need for an update on recent accomplishments and trends. Theresearchactivityinshapeanalysisisdistinguishedbytwomainschools of thought: - The rstapproximatesshapesbya nite-dimensionalrepresentation(a set of landmarks), which is then subjected to various transformations to account for variability and to subsequently derive models. - The second, on the other hand, interprets shapes as closed contours in an in nite-dimensional space, which, when subjected to transformations, morph into other shapes, thereby yielding a notion of similarity in the space of shapes. 1 Landmark-BasedShapeRepresentation Shapeisaboutscale,orientation,andrelationshipamongtheso-calledchar- teristic points/landmarks of an object-delineating contour. Such information about a data set better de nes a shape. Equivalently, when such information is taken out of two data sets, the resulting shapes may be compared.