A Brief Introduction to Statistical Shape Analysis

Mikkel B. Stegmann, David Delgado Gomez

AbstractThis 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.
Keywordsstatistical shape analysis, landmark methods, morphometrics, Procrustes analysis, principal component analysis, multivariate statistics, biometrics, active shape models
TypeLecture note
Year2002    Month March    pp. 15
PublisherInformatics and Mathematical Modelling, Technical University of Denmark, DTU
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby
NoteImages, annotations and data reports are placed in the enclosed zip-file.
Electronic version(s)[pdf] [zip]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics

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