@inproceedings{308539fe04224b4fb1e2fd5eb26a2326,
title = "Robust gaze estimation via normalized iris center-eye corner vector",
abstract = "Gaze estimation plays an important role in many practical scenarios such as human robot interaction. Although high accurate gaze estimation could be obtained in constrained settings with additional IR sources or depth sensors, single web-cam based gaze estimation still remains challenging. This paper propose a normalized iris center-eye corner (NIC-EC) vector based gaze estimation methods using a single, low cost web-cam. Firstly, reliable facial features and pupil centers are extracted. Then, the NIC-EC vector is proposed to enhance the robustness and accuracy for pupil center-eye corner vector based gaze estimations. Finally, an interpolation method is employed for the mapping between constructed vectors and points of regard. Experimental results showed that the proposed method has significantly improved the accuracy over the pupil center-eye corner vector based gaze estimation method with average accuracy of 1.66 ◦ under slight head movements.",
keywords = "Eye tracking, Gaze estimation, Interpolation, Normalized iris center-eye corner vector",
author = "Haibin Cai and Hui Yu and Xiaolong Zhou and Honghai Liu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 9th International Conference on Intelligent Robotics and Applications, ICIRA 2016 ; Conference date: 22-08-2016 Through 24-08-2016",
year = "2016",
doi = "10.1007/978-3-319-43506-0\_26",
language = "英语",
isbn = "9783319435053",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "300--309",
editor = "Honghai Liu and Naoyuki Kubota and Takenori Obo and Kazuo Kiguchi",
booktitle = "Intelligent Robotics and Applications - 9th International Conference, ICIRA 2016, Proceedings",
address = "德国",
}