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Laugesen, Søren
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Testing for Gender Related Size and Shape Differences of the Human Ear canal using Statistical methods
Abstract
This work deals with the analysis of the shape of the humanear canal. It is described how a dense surface point distributionmodel of the human ear canal is built based on a training set oflaser scanned ear impressions and a sparse set of anatomicallandmarks placed by an expert. The dense surface models are built byusing the anatomical landmarks to warp a template mesh onto allshapes in the training set.Testing the gender related differencesis done by initially reducing the dimensionality using principalcomponent analysis of the vertices of the warped meshes. The numberof components to retain is chosen using Horn's parallel analysis.Finally a multivariate analysis of variance is performed on thesecomponents.