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.
|Qualification||Doctor of Philosophy|
|Award date||15 Dec 2016|
|Publication status||Unpublished - 2016|