yezzi anthony (6 Ergebnisse)

Zustand: New. pp. 400 Illus.

Hardcover. Zustand: Good. Cover shows shelf wear. Edges shows minor shelf wear. Pages are clean and intact.

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.

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 | Sprache: Englisch | Produktart: Bücher.

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.