TY - GEN
T1 - Doǧal ve yapma gülüşlerin siniflandirilmasi
AU - Dibeklioǧlu, Hamdi
AU - Valenti, Roberto
AU - Salah, Albert Ali
AU - Gevers, Theo
PY - 2011
Y1 - 2011
N2 - Automatic detection of affective states from facial images and videos is a very important application in social signal processing. In this study we focus on the expression of happiness, and propose a physiologically inspired approach for detecting whether a smile is spontaneously produced or not. We use distance-based and angular features that characterize movements of facial regions, and train local classifiers for smile classification. Our experiments with different classifiers on two different datasets show that the eyelid region can be very useful in assessing spontaneous versus posed smiles.
AB - Automatic detection of affective states from facial images and videos is a very important application in social signal processing. In this study we focus on the expression of happiness, and propose a physiologically inspired approach for detecting whether a smile is spontaneously produced or not. We use distance-based and angular features that characterize movements of facial regions, and train local classifiers for smile classification. Our experiments with different classifiers on two different datasets show that the eyelid region can be very useful in assessing spontaneous versus posed smiles.
UR - http://www.scopus.com/inward/record.url?scp=79960433567&partnerID=8YFLogxK
U2 - 10.1109/SIU.2011.5929572
DO - 10.1109/SIU.2011.5929572
M3 - Conference contribution
AN - SCOPUS:79960433567
SN - 9781457704635
T3 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
SP - 1165
EP - 1168
BT - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
T2 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Y2 - 20 April 2011 through 22 April 2011
ER -