Recognizing facial expressions : Computational models and humans
Shenoy, Aruna, Davey, N. and Frank, Ray
(2013)
Recognizing facial expressions : Computational models and humans.
Institute of Electrical and Electronics Engineers (IEEE).
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. There have been a limited number of studies comparing the performance of human subjects with computational models for facial expression recognition. This paper does a genuine attempt in making this comparison.
Item Type | Other |
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Uncontrolled Keywords | Curvilinear Component Analysis; Facial expression; Gabor filters; human subjects; Principal component analysis; Support Vector machines |
Subjects |
Computer Science(all) > Artificial Intelligence Computer Science(all) > Computational Theory and Mathematics |
Date Deposited | 14 Nov 2024 11:26 |
Last Modified | 14 Nov 2024 11:26 |