Title: Q-MAF Shape Decomposition
Type: Article in proceedingsArticle in proceedings
Participant(s):
Author:  Larsen, Rasmus (Cwisno: 1431)
Technical University of Denmark
Email:

Forfatter:  Eiriksson, Hrafnkell
Technical University of Denmark

Author:  Stegmann, Mikkel Bille (Cwisno: 9472)
Technical University of Denmark

Redaktør:  Niessen et al., Wiro J.
Technical University of Denmark
Abstract: This paper address the problems of generating a low dimensional representation of the shape variation present in a set of shapes represented by a number of landmark points. First, we will present alternatives to the featured Least-Squares Procrustes alignment based on the L1-norm and the L-inf-norm. Second, we will define a new shape decomposition based on the Maximum Autocorrelation Factor (MAF) analysis, and investigate and compare its properties to the Principal Components Analysis (PCA). It is shown that Molgedey-Schuster algorithm for Independent Component Analysis (ICA) is equivalent to the MAF analysis. The shape MAF analysis utilises the natural order of landmark points along shape contours.
Published: part of: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001, 4th Int. Conference, Utrecht, The Netherlands, pages: 837-844, 2001, Springer,
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