3D gaze estimation without explicit personal calibration

作者：

Highlights：

• A non-intrusive and user-friendly eye gaze tracking system is proposed.

• Personal eye parameters can be implicitly calibrated with natural constraints.

• Propose the hard-EM algorithm to solve the constrained unsupervised regression problem.

• The proposed method achieves comparable gaze estimation accuracy with state-of-the-art implicit calibration methods, while is less restricted and can be applied to a wider range of practical applications.

摘要

•A non-intrusive and user-friendly eye gaze tracking system is proposed.•Personal eye parameters can be implicitly calibrated with natural constraints.•Propose the hard-EM algorithm to solve the constrained unsupervised regression problem.•The proposed method achieves comparable gaze estimation accuracy with state-of-the-art implicit calibration methods, while is less restricted and can be applied to a wider range of practical applications.

论文关键词：Gaze estimation,Implicit calibration,Natural constraints,Human computer interaction

论文评审过程：Received 26 July 2017, Revised 24 January 2018, Accepted 28 January 2018, Available online 31 January 2018, Version of Record 23 February 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.01.031