A Brief Introduction to Statistical Shape Analysis  Mikkel B. Stegmann, David Delgado Gomez
 Abstract  This note aims at giving a brief introduction to the field of statistical shape analysis looked at from an image analysis point of view. Basic techniques such as Procrustes analysis, tangent space projection and Principal Component Analysis (PCA) are presented and subsequently demonstrated and discussed in depth through a biometric case study of hands.
Prerequisites are limited to basic knowledge of linear algebra and statistics at the price of a somewhat less compact presentation. To encourage learning by exploration; images, annotations and data reports from the hand study are made available for download.  Keywords  statistical shape analysis, landmark methods, morphometrics, Procrustes analysis, principal component analysis, multivariate statistics, biometrics, active shape models  Type  Lecture note  Year  2002 Month March pp. 15  Publisher  Informatics and Mathematical Modelling, Technical University of Denmark, DTU  Address  Richard Petersens Plads, Building 321, DK2800 Kgs. Lyngby  Note  Images, annotations and data reports are placed in the enclosed zipfile.  Electronic version(s)  [pdf] [zip]  BibTeX data  [bibtex]  IMM Group(s)  Image Analysis & Computer Graphics 
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