Biologically plausible computational models for facial expression recognition
Shenoy, Aruna, Davey, N. and Frank, Raymond
(2013)
Biologically plausible computational models for facial expression recognition.
UNSPECIFIED.
This paper discusses various biologically plausible computational models that recognize human facial expression and analyze them. Identifying facial expressions is a non trivial task for a human and is a key part of social interactions. However, it is not as simple as that for a computational system. Here we analyze six different universally accepted facial expressions for analysis with the aid of six biologically plausible computational models.
Item Type | Other |
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Uncontrolled Keywords | Curvilinear Component Analysis; facial expressions; Gabor filters; Principal Component Analysis; Support Vector Machines |
Subjects |
Computer Science(all) > Computer Science (miscellaneous) Engineering(all) > Electrical and Electronic Engineering |
Date Deposited | 14 Nov 2024 10:55 |
Last Modified | 14 Nov 2024 10:55 |