TY - GEN
T1 - Facial Landmark Detection using Gaussian Guided Regression Network
AU - Lee, Yongju
AU - Kim, Taeoh
AU - Jeon, Taejae
AU - Bae, Hanbyeol
AU - Lee, Sangyoun
PY - 2019/6
Y1 - 2019/6
N2 - Facial landmark detection is important prior information for other face alignment problems such as head pose estimation, facial emotion expression, and face modeling. Among the typical facial landmark detection algorithms, the TREE [1] algorithm which uses the cascaded regression method can detect facial landmark faster than the other algorithms using small training data. In this paper, we extract the Gaussian guided landmark map from the TREE and predict residual facial landmarks via landmark regression network. By using the Gaussian landmark feature map as prior information, the regression network effectively guides the direction of the refined landmarks on the 300W test dataset.
AB - Facial landmark detection is important prior information for other face alignment problems such as head pose estimation, facial emotion expression, and face modeling. Among the typical facial landmark detection algorithms, the TREE [1] algorithm which uses the cascaded regression method can detect facial landmark faster than the other algorithms using small training data. In this paper, we extract the Gaussian guided landmark map from the TREE and predict residual facial landmarks via landmark regression network. By using the Gaussian landmark feature map as prior information, the regression network effectively guides the direction of the refined landmarks on the 300W test dataset.
UR - http://www.scopus.com/inward/record.url?scp=85071473736&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071473736&partnerID=8YFLogxK
U2 - 10.1109/ITC-CSCC.2019.8793317
DO - 10.1109/ITC-CSCC.2019.8793317
M3 - Conference contribution
T3 - 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
BT - 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
Y2 - 23 June 2019 through 26 June 2019
ER -