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Robust approaches for face recognition

Mohammed, Ahmed Abdulateef 2018, Robust approaches for face recognition, Ph.D thesis, School of Information Technology, Deakin University.

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Title Robust approaches for face recognition
Author Mohammed, Ahmed AbdulateefORCID iD for Mohammed, Ahmed Abdulateef orcid.org/0000-0002-3026-095X
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D
Thesis advisor Sajjanhar, AtulORCID iD for Sajjanhar, Atul orcid.org/0000-0002-0445-0573
Date submitted 2018-10-02
Summary This thesis gave answers to a number of important questions regarding face classification. Via this research, new methods were introduced to represent four facial attributes (three of them related to the demographic information of the human face: gender, age and race) and the fourth one related to facial expression. It stated that, discriminative facial features regarding to demographic information (gender, age and race) and expression information can be obtained by applying texture analysis techniques to the polar raster sampled images. In addition, it is found that, multi-label classification (MLC) is more suitable in the real world as a human face can be associated with multiple labels.
Language eng
Field of Research 080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
Description of original 233 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30115368

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Created: Fri, 16 Nov 2018, 12:56:02 EST by Bayne Christine

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.