TY - GEN
T1 - A quadratic deformation model for facial expression recognition
AU - Obaid, M.
AU - Mukundany, R.
AU - Goeckezx, R.
AU - Billinghurst, M.
AU - Seichter, H.
PY - 2009
Y1 - 2009
N2 - In this paper, we propose a novel approach for recognizing facial expressions based on using an Active Appearance Model facial feature tracking system with the quadratic deformation model representations of facial expressions. Thirty seven Facial Feature points are tracked based on the MPEG-4 Facial Animation Parameters layout. The proposed approach relies on the Euclidean distance measures between the tracked feature points and the reference deformed facial feature points of the six main expressions (smile, sad, fear, disgust, surprise, and anger). An evaluation of 30 model subjects, selected randomly from the Cohn-Kanade Database, was carried out. Results show that the main six facial expressions can successfully be recognized with an overall recognition accuracy of 89%. The proposed approach yields to promising recognition rates and can be used in real time applications.
AB - In this paper, we propose a novel approach for recognizing facial expressions based on using an Active Appearance Model facial feature tracking system with the quadratic deformation model representations of facial expressions. Thirty seven Facial Feature points are tracked based on the MPEG-4 Facial Animation Parameters layout. The proposed approach relies on the Euclidean distance measures between the tracked feature points and the reference deformed facial feature points of the six main expressions (smile, sad, fear, disgust, surprise, and anger). An evaluation of 30 model subjects, selected randomly from the Cohn-Kanade Database, was carried out. Results show that the main six facial expressions can successfully be recognized with an overall recognition accuracy of 89%. The proposed approach yields to promising recognition rates and can be used in real time applications.
KW - Active appearance models
KW - Facial expression recognition
KW - Facial feature tracking
KW - Quadratic deformation models
UR - http://www.scopus.com/inward/record.url?scp=77950333791&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2009.51
DO - 10.1109/DICTA.2009.51
M3 - Conference contribution
SN - 9780769538662
T3 - DICTA 2009 - Digital Image Computing: Techniques and Applications
SP - 264
EP - 270
BT - DICTA 2009 - Digital Image Computing
T2 - Digital Image Computing: Techniques and Applications, DICTA 2009
Y2 - 1 December 2009 through 3 December 2009
ER -