Recognising facial expressions with noisy data

Chew, Sien Wei (2013) Recognising facial expressions with noisy data. PhD by Publication, Queensland University of Technology.

Abstract

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).

Impact and interest:

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Full-text downloads:

332 since deposited on 21 Oct 2013
18 in the past twelve months

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ID Code: 63523
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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