Testing for Gender Related Size and Shape Differences of the Human Ear canal using Statistical methods

AbstractThis work deals with the analysis of the shape of the human
ear canal. It is described how a dense surface point distribution
model of the human ear canal is built based on a training set of
laser scanned ear impressions and a sparse set of anatomical
landmarks placed by an expert. The dense surface models are built by
using the anatomical landmarks to warp a template mesh onto all
shapes in the training set. Testing the gender related differences
is done by initially reducing the dimensionality using principal
component analysis of the vertices of the warped meshes. The number
of components to retain is chosen using Horn's parallel analysis.
Finally a multivariate analysis of variance is performed on these
TypeConference paper [With referee]
ConferenceEleventh International Workshop on Matrices and Statistics
Year2002    Month August
PublisherInformatics and Mathematical Modelling, Technical University of Denmark, DTU
AddressRichard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics