TY - GEN
T1 - The computer expression recognition toolbox (CERT)
AU - Littlewort, Gwen
AU - Whitehill, Jacob
AU - Wu, Tingfan
AU - Fasel, Ian
AU - Frank, Mark
AU - Movellan, Javier
AU - Bartlett, Marian
PY - 2011
Y1 - 2011
N2 - We present the Computer Expression Recognition Toolbox (CERT), a software tool for fully automatic real-time facial expression recognition, and officially release it for free academic use. CERT can automatically code the intensity of 19 different facial actions from the Facial Action Unit Coding System (FACS) and 6 different protoypical facial expressions. It also estimates the locations of 10 facial features as well as the 3-D orientation (yaw, pitch, roll) of the head. On a database of posed facial expressions, Extended Cohn-Kanade (CK [1]), CERT achieves an average recognition performance (probability of correctness on a two-alternative forced choice (2AFC) task between one positive and one negative example) of 90.1% when analyzing facial actions. On a spontaneous facial expression dataset, CERT achieves an accuracy of nearly 80%. In a standard dual core laptop, CERT can process 320 240 video images in real time at approximately 10 frames per second.
AB - We present the Computer Expression Recognition Toolbox (CERT), a software tool for fully automatic real-time facial expression recognition, and officially release it for free academic use. CERT can automatically code the intensity of 19 different facial actions from the Facial Action Unit Coding System (FACS) and 6 different protoypical facial expressions. It also estimates the locations of 10 facial features as well as the 3-D orientation (yaw, pitch, roll) of the head. On a database of posed facial expressions, Extended Cohn-Kanade (CK [1]), CERT achieves an average recognition performance (probability of correctness on a two-alternative forced choice (2AFC) task between one positive and one negative example) of 90.1% when analyzing facial actions. On a spontaneous facial expression dataset, CERT achieves an accuracy of nearly 80%. In a standard dual core laptop, CERT can process 320 240 video images in real time at approximately 10 frames per second.
UR - https://www.scopus.com/pages/publications/79958707330
U2 - 10.1109/FG.2011.5771414
DO - 10.1109/FG.2011.5771414
M3 - Conference contribution
AN - SCOPUS:79958707330
SN - 9781424491407
T3 - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
SP - 298
EP - 305
BT - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
T2 - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Y2 - 21 March 2011 through 25 March 2011
ER -