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Sparse representation for face images.

Zhang, Xin 2016, Sparse representation for face images., PhD. thesis, School of Information Technology, Deakin University.

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Title Sparse representation for face images.
Author Zhang, Xin
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name PhD.
Thesis advisor Pham, Son
Date submitted 2016-05
Keyword(s) Face recognition software
Computing
Image processing
Pattern recognition
Biometrics
surveillance systems
Summary This thesis address issues for face recognition with multi-view face images. Several effective methods are proposed and compared with current state of the art. A novel framework that generalises existing sparse representation-based methods in order to exploit the sharing information to against pose variations of face images is proposed.
Language eng
Field of Research 080109 - Pattern Recognition and Data Mining 100%
0801 Artificial Intelligence and Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Description of original xiii, 170 pages : figures, tables, some coloured.
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089360

Document type: Thesis
Collections: Higher degree theses (full text)
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Created: Fri, 25 Nov 2016, 08:48:29 EST by Deb Gray

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.