ENGLISH

Permutation Tests in Shape Analysis

By Luigi Salmaso , Chiara Brombin (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2013
ISBN
978-1-4614-8162-1, 978-1-4614-8163-8
DOI
10.1007/978-1-4614-8163-8
Language
english
Format
PDF
Filesize
1 MB (1572498 bytes)
Series
SpringerBriefs in Statistics 15
Edition
1
Pages
95\105
Orientation
yes
Scanned
yes
Time added
2013-09-13 12:07:46
general; Statistical Theory and Methods; StatisticHealth SciencesMedicineStatistics

Description

Statistical 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, normal 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[1]. 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 non-parametric methods utilized to facilitate shape analysis. ​ ​

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