Hybrid eye center localization using cascaded regression and hand-crafted model fitting
作者:
Highlights:
• Eye centers are detected using a cascade of regression trees with HoG features.
• Robust circle fitting to iris contour is used to refine the eye center locations.
• Hand-crafted detector is used to train the regressor without manual annotations.
• State-of-the-art eye center localization results are achieved.
摘要
•Eye centers are detected using a cascade of regression trees with HoG features.•Robust circle fitting to iris contour is used to refine the eye center locations.•Hand-crafted detector is used to train the regressor without manual annotations.•State-of-the-art eye center localization results are achieved.
论文关键词:Eye center detection,Eye tracking,Facial feature alignment,Cascaded regression
论文评审过程:Received 23 June 2017, Revised 8 January 2018, Accepted 10 January 2018, Available online 31 January 2018, Version of Record 8 February 2018.
论文官网地址:https://doi.org/10.1016/j.imavis.2018.01.003