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About this product
- DescriptionStatistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, rmal and pathological bone shapes, etc. Some of the important aspects of shape analysis are to obtain a measure of distance between shapes, to estimate average shapes from a (possibly random) sample and to estimate shape variability in a sample. One of the main methods used is principal component analysis. Specific applications of shape analysis may be found in archaeology, architecture, biology, geography, geology, agriculture, genetics, medical imaging, security applications such as face recognition, entertainment industry (movies, games), computer-aided design and manufacturing. This is a proposal for a new Brief on statistical shape analysis and the various new parametric and n-parametric methods utilized to facilitate shape analysis.
- Author BiographyLuigi Salmaso,Ph.D. Professor of Statistics Department of Management and Engineering University of Padova Padova, Italy Chiara Brombin, Ph.D. CUSSB, Vita-Salute University of San Raffaele Milan, Italy
- Author(s)Chiara Brombin,Luigi Salmaso
- PublisherSpringer-Verlag New York Inc.
- Date of Publication06/09/2013
- Series TitleSpringerBriefs in Statistics
- Series Part/Volume Number15
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Note3 black & white illustrations, 16 colour illustrations, 35 colour tables, biography
- Weight177 g
- Width155 mm
- Height235 mm
- Spine10 mm
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