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, DK-2800 Kgs. Lyngby | | Note | Images, 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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