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The Statistical Theory of Shape

Author: Christopher G Small
Publisher: New York, NY : Springer New York, 1996.
Series: Springer series in statistics.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
The shape of a data set can be defined as the total of all information under translations, rotations, and scale changes to the data. Over the last decade, shape analysis has emerged as a promising new field of statistics with applications to morphometrics, pattern recognition, archaeology, and other disciplines. This book provides a comprehensive coverage of the statistical theory of shape. Both the Kendall and the  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christopher G Small
ISBN: 9781461240327 1461240328 0387947299 9780387947297
OCLC Number: 852787863
Description: 1 online resource (x, 244 pages 46 illustrations).
Contents: Introduction --
Shape Spaces --
Some Tools from Probability Theory --
Distributions of Random Shapes --
Shape Statistics and Maximal Invariance --
Some Examples of Shape Analysis.
Series Title: Springer series in statistics.
Responsibility: by Christopher G. Small.

Abstract:

In general terms, the shape of an object, data set, or image can be de- fined as the total of all information that is invariant under translations, rotations, and isotropic rescalings.  Read more...

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