Recognising facial expressions with noisy data
| Data(s) |
2013
|
|---|---|
| Resumo |
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). |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Queensland University of Technology |
| Relação |
http://eprints.qut.edu.au/63523/1/Sien_Wei_Chew_Thesis.pdf Chew, Sien Wei (2013) Recognising facial expressions with noisy data. PhD by Publication, Queensland University of Technology. |
| Direitos |
Copyright 2013 Sien Wei Chew |
| Fonte |
School of Electrical Engineering & Computer Science; Institute for Future Environments; Science & Engineering Faculty |
| Palavras-Chave | #Automatic facial expression recognition #action unit detection #pain monitoring #eature representation extraction #support vector machines #sparse representations |
| Tipo |
Thesis |
