Recognising facial expressions with noisy data
Chew, Sien Wei (2013) Recognising facial expressions with noisy data. PhD by Publication, Queensland University of Technology.
Techniques to improve the automated analysis of natural and spontaneous facial expressions have been developed. The outcome of the research has applications in several fields including national security (eg: expression invariant face recognition); education (eg: affect aware interfaces); mental and physical health (eg: depression and pain recognition).
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|Item Type:||QUT Thesis (PhD by Publication)|
|Supervisor:||Sridharan, Sridha & Fookes, Clinton|
|Keywords:||Automatic facial expression recognition, action unit detection, pain monitoring, eature representation extraction, support vector machines, sparse representations|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright 2013 Sien Wei Chew|
|Deposited On:||21 Oct 2013 23:35|
|Last Modified:||09 Sep 2015 04:05|
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