TY - GEN
T1 - A smile can reveal your age
T2 - 20th ACM International Conference on Multimedia, MM 2012
AU - Dibeklioǧlu, Hamdi
AU - Gevers, Theo
AU - Salah, Albert Ali
AU - Valenti, Roberto
PY - 2012
Y1 - 2012
N2 - Estimation of a person's age from the facial image has many applications, ranging from biometrics and access control to cosmetics and entertainment. Many image-based methods have been proposed for this problem. In this paper, we propose a method for the use of dynamic features in age estimation, and show that 1) the temporal dynamics of facial features can be used to improve image-based age estimation; 2) considered alone, static image-based features are more accurate than dynamic features. We have collected and annotated an extensive database of face videos from 400 subjects with an age range between 8 and 76, which allows us to extensively analyze the relevant aspects of the problem. The proposed system, which fuses facial appearance and expression dynamics, performs with a mean absolute error of 4.81 (4.87) years. This represents a significant improvement of accuracy in comparison to the sole use of appearance-based features.
AB - Estimation of a person's age from the facial image has many applications, ranging from biometrics and access control to cosmetics and entertainment. Many image-based methods have been proposed for this problem. In this paper, we propose a method for the use of dynamic features in age estimation, and show that 1) the temporal dynamics of facial features can be used to improve image-based age estimation; 2) considered alone, static image-based features are more accurate than dynamic features. We have collected and annotated an extensive database of face videos from 400 subjects with an age range between 8 and 76, which allows us to extensively analyze the relevant aspects of the problem. The proposed system, which fuses facial appearance and expression dynamics, performs with a mean absolute error of 4.81 (4.87) years. This represents a significant improvement of accuracy in comparison to the sole use of appearance-based features.
KW - age estimation
KW - facial dynamics
UR - http://www.scopus.com/inward/record.url?scp=84871383650&partnerID=8YFLogxK
U2 - 10.1145/2393347.2393382
DO - 10.1145/2393347.2393382
M3 - Conference contribution
AN - SCOPUS:84871383650
SN - 9781450310895
T3 - MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
SP - 209
EP - 218
BT - MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
Y2 - 29 October 2012 through 2 November 2012
ER -