3D Facial morphometrics for syndrome delineation

Syed Zulqarnain Ahmad Gilani

3D Facial morphometrics for syndrome delineation

Research output: Thesis › Doctoral Thesis

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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 language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Award date	15 Dec 2016
Publication status	Unpublished - 2016

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THESIS - DOCTOR OF PHILOSOPHY - GILANI Syed Zulqarnain Ahmad - 2016
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title = "3D Facial morphometrics for syndrome delineation",

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. ",

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N2 - 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.

AB - 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.

KW - 3D face

KW - Morphometrics

KW - ASD

KW - Syndrome

KW - Dense correspondence

KW - Gender classification

KW - Sexual dimorphism

KW - Machine learning

M3 - Doctoral Thesis

ER -