Title :
Age estimation using facial expression dynamics
Author :
Dibeklioglu, Hamdi ; Salah, Albert Ali ; Gevers, Theo
Author_Institution :
Inf. Inst., Univ. of Amsterdam, Amsterdam, Netherlands
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.
Keywords :
face recognition; age estimation; appearance-based feature; facial expression dynamics; facial landmark; movement dynamics; smile expression; spatio-temporal feature; Aging; Electronic mail; Estimation; Face; Informatics; Multimedia communication; Support vector machines; Age estimation; facial expression analysis;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531538