Gaussian processes as an alternative to polynomial gaze estimation functions
暂无分享,去创建一个
[1] Zhiwei Zhu,et al. Eye and gaze tracking for interactive graphic display , 2002, SMARTGRAPH '02.
[2] Qiang Ji,et al. In the Eye of the Beholder: A Survey of Models for Eyes and Gaze , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Pieter Blignaut,et al. Mapping the Pupil-Glint Vector to Gaze Coordinates in a Simple Video-Based Eye Tracker , 2013 .
[4] Pieter J. Blignaut. A new mapping function to improve the accuracy of a video-based eye tracker , 2013, SAICSIT '13.
[5] Zhiwei Zhu,et al. Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[6] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[7] Juan J. Cerrolaza,et al. Study of Polynomial Mapping Functions in Video-Oculography Eye Trackers , 2012, TCHI.
[8] Carlos Hitoshi Morimoto,et al. Eye gaze tracking techniques for interactive applications , 2005, Comput. Vis. Image Underst..
[9] Rafael Cabeza,et al. Evaluation of pupil center-eye corner vector for gaze estimation using a web cam , 2012, ETRA '12.
[10] Thomas Martinetz,et al. A software framework for simulating eye trackers , 2008, ETRA.
[11] Yanxia Zhang,et al. Pupil-canthi-ratio: a calibration-free method for tracking horizontal gaze direction , 2014, AVI.
[12] Carl E. Rasmussen,et al. Gaussian Processes for Machine Learning (GPML) Toolbox , 2010, J. Mach. Learn. Res..