A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science. October 2014. / Despite the fact that there has been quite a lot of research done in the eld of facial
expression recognition, not much development has occurred in detecting the intensity
of facial actions. In facial expression recognition, the intensity of facial actions is an
important and crucial aspect, since it would provide more information about the facial
expression of an individual, such as the level of emotion in a face. Furthermore, having
an automated system that can detect the intensity of facial actions in an individual's
face can lead up to a lot of potential applications from lie detection to smart classrooms.
The provided approach includes robust methods for face and facial feature extraction,
and multiple machine learning methods for facial action intensity detection.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/16832 |
| Date | 30 January 2015 |
| Creators | Bingol, Deniz |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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