3D Facial morphometrics for syndrome delineation

    Research output: ThesisDoctoral Thesis

    835 Downloads (Pure)

    Abstract

    The human face conveys a wealth of information about the identity, biological sex, age and ethnic background. It also reveals the affects of neurodevelopmental disorders. Thus, facial morphometrics can be used for detection of neurodevelopmental disorders and human identification. In this thesis, 30 facial features have been used for gender classification and scoring, face recognition and syndrome delineation. In particular, the thesis addresses the relative significance of facial landmarks in modelling the sexual dimorphism, automation of facial landmarking and establishing dense correspondence between 30 faces. It proposes algorithms to solve these challenges and applies them to Psychology and Biology.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • The University of Western Australia
    Award date15 Dec 2016
    Publication statusUnpublished - 2016

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