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Statistics of shape
Author(s) -
Small Christopher G.
Publication year - 2011
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.173
Subject(s) - landmark , shape analysis (program analysis) , representation (politics) , computer science , statistical analysis , statistics , artificial intelligence , mathematics , pattern recognition (psychology) , static analysis , politics , political science , law , programming language
Abstract This article reviews various statistical methods that are available for the analysis of the shapes of images or objects. Statistical shape analysis is too large a topic to be reviewed in full. So, this review concentrates on shape analysis by means of landmarks, and in particular on the representation of landmark shapes on manifolds that was proposed by D. G. Kendall. The use of Kendall shape analysis on landmarks is briefly contrasted with alternative ways of representing and analyzing shapes. WIREs Comp Stat 2011 3 428–433 DOI: 10.1002/wics.173 This article is categorized under: Applications of Computational Statistics > Computational Mathematics