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

Rasmus Reinhold Paulsen, Rasmus Larsen, Bjarne Kjær Ersbøll, Claus Nielsen, Søren Laugesen, Knut Conradsen (Editor)

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This 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 components.
    Original languageEnglish
    Title of host publicationEleventh International Workshop on Matrices and Statistics
    PublisherInformatics and Mathematical Modelling, Technical University of Denmark, DTU
    Publication date2002
    Publication statusPublished - 2002
    EventEleventh International Workshop on Matrices and Statistics -
    Duration: 1 Jan 2002 → …

    Conference

    ConferenceEleventh International Workshop on Matrices and Statistics
    Period01/01/2002 → …

    Fingerprint Dive into the research topics of 'Testing for Gender Related Size and Shape Differences of the Human Ear canal using Statistical methods'. Together they form a unique fingerprint.

    Cite this