TY - GEN
T1 - Facial Expression Recognition Using Spatial-Temporal Semantic Graph Network
AU - Zhou, Jinzhao
AU - Zhang, Xingming
AU - Liu, Yang
AU - Lan, Xiangyuan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Motions of facial components convey significant information of facial expressions. Although remarkable advancement has been made, the dynamic of facial topology has not been fully exploited. In this paper, a novel facial expression recognition (FER) algorithm called Spatial Temporal Semantic Graph Network (STSGN) is proposed to automatically learn spatial and temporal patterns through end-to-end feature learning from facial topology structure. The proposed algorithm not only has greater discriminative power to capture the dynamic patterns of facial expression and stronger generalization capability to handle different variations but also higher interpretability. Experimental evaluation on two popular datasets, CK+ and Oulu-CASIA, shows that our algorithm achieves more competitive results than other state-of-the-art methods.
AB - Motions of facial components convey significant information of facial expressions. Although remarkable advancement has been made, the dynamic of facial topology has not been fully exploited. In this paper, a novel facial expression recognition (FER) algorithm called Spatial Temporal Semantic Graph Network (STSGN) is proposed to automatically learn spatial and temporal patterns through end-to-end feature learning from facial topology structure. The proposed algorithm not only has greater discriminative power to capture the dynamic patterns of facial expression and stronger generalization capability to handle different variations but also higher interpretability. Experimental evaluation on two popular datasets, CK+ and Oulu-CASIA, shows that our algorithm achieves more competitive results than other state-of-the-art methods.
KW - Action Units
KW - Facial Expression Recognition
KW - Facial Graph Representation
KW - Spatial Temporal Graph Convolutional Network
UR - http://www.scopus.com/inward/record.url?scp=85098617467&partnerID=8YFLogxK
U2 - 10.1109/ICIP40778.2020.9191181
DO - 10.1109/ICIP40778.2020.9191181
M3 - Conference proceeding
AN - SCOPUS:85098617467
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1961
EP - 1965
BT - 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Image Processing, ICIP 2020
Y2 - 25 September 2020 through 28 September 2020
ER -