Eye gaze estimation based on ellipse fitting and three-dimensional model of eye for “Intelligent Poster”

The designers judge the advertisement design based on subjective assessment only. But we think that they need an objective assessment to evaluate it. In this research, we propose a novel system which estimates our interest in posters by our eye gaze and it is called “Intelligent Poster”. We hereby get an objective rating of the poster design and knowledge for making good posters. This paper focuses on eye gaze estimation which meets some requirements and has enough accuracy and robustness for “Intelligent Poster”. Many researchers propose various eye gaze estimation, for example, using corneal reflection, wearing measurement hardware, using only cameras. In these days, we can get high resolution cameras in cheap with developing the technology. So, we can simply construct an eye gaze system by using a camera. We combine two methods based on ellipse fitting and three-dimensional model to realize the robust estimation. The achieved accuracy of our proposed method is 6 deg.

[1]  Jose Sigut,et al.  Iris Center Corneal Reflection Method for Gaze Tracking Using Visible Light , 2011, IEEE Transactions on Biomedical Engineering.

[2]  Hirotake Yamazoe,et al.  Remote and head-motion-free gaze tracking for real environments with automated head-eye model calibrations , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[3]  Ashok Sivaji,et al.  Combining eye gaze and hand tracking for pointer control in HCI: Developing a more robust and accurate interaction system for pointer positioning and clicking , 2012, 2012 IEEE Colloquium on Humanities, Science and Engineering (CHUSER).

[4]  Huabiao Qin,et al.  A novel pupil detection algorithm for infrared eye image , 2013, 2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013).

[5]  Yoshinobu Ebisawa,et al.  Development of head-mounted display with eye-gaze detection function for the severely disabled , 2008, 2008 IEEE Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems.

[6]  Franco Simini,et al.  Gaze tracker by electrooculography (EOG) on a head-band , 2011, 2011 10th International Workshop on Biomedical Engineering.

[7]  Jian-Gang Wang,et al.  Eye gaze estimation from a single image of one eye , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[8]  Zhiwei Zhu,et al.  Novel Eye Gaze Tracking Techniques Under Natural Head Movement , 2007, IEEE Transactions on Biomedical Engineering.

[9]  Yu-Te Wu,et al.  A calibration-free gaze tracking technique , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[10]  Neil A. Dodgson,et al.  Variation and extrema of human interpupillary distance , 2004, IS&T/SPIE Electronic Imaging.

[11]  Yoshinobu Ebisawa,et al.  Head-Free, Remote Gaze Detection System Based on Pupil-Corneal Reflection Method with Using Two Video Cameras - One-Point and Nonlinear Calibrations , 2013, HCI.

[12]  Bo Fu,et al.  Display control based on eye gaze estimation , 2011, 2011 4th International Congress on Image and Signal Processing.