Abstract
Age estimation from face images traditionally focuses on appearance features. In this paper, we evaluate a number of recently proposed spatio-temporal features for the problem of age estimation from face videos. It is shown that temporal features based on movement dynamics of facial landmarks during a smile expression can improve age estimation over using only appearance-based features.
| Translated title of the contribution | Age estimation using facial expression dynamics |
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| Original language | Turkish |
| Title of host publication | 2013 21st Signal Processing and Communications Applications Conference, SIU 2013 |
| DOIs | |
| Publication status | Published - 5 Aug 2013 |
| Event | 2013 21st Signal Processing and Communications Applications Conference, SIU 2013 - Haspolat, Turkey Duration: 24 Apr 2013 → 26 Apr 2013 |
Conference
| Conference | 2013 21st Signal Processing and Communications Applications Conference, SIU 2013 |
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| Country/Territory | Turkey |
| City | Haspolat |
| Period | 24/04/13 → 26/04/13 |
Keywords
- Age estimation
- Facial expression analysis