Robust pupil detection for gaze-based user interface

Authors:
Wen-Hung Liao;Li-Chiang Yu
Affiliations:
National Chengchi University, Taipei City, Taiwan Roc;National Chengchi University, Taipei City, Taiwan Roc
Venue:
Proceedings of the 2010 workshop on Eye gaze in intelligent human machine interaction
Year:
2010

Citing 5
Cited 0

Eye Tracking Methodology: Theory and Practice

Eye Tracking Methodology: Theory and Practice
The accuracy of eye tracking using image processing

Proceedings of the third Nordic conference on Human-computer interaction
Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
A single camera eye-gaze tracking system with free head motion

Proceedings of the 2006 symposium on Eye tracking research & applications
An Efficient Approach for Pupil Detection in Iris Images

ADCOM '07 Proceedings of the 15th International Conference on Advanced Computing and Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Eye tracker has the potential to play an assistive role in human computer interaction. However, the operation is easily hindered by excessive corneal reflection and noise which prevent correct detection and precise localization of the pupil. In this paper we describe a robust method for pupil detection in the presence of severe interference. The algorithm works by analyzing the intensity distribution of the pupil region and iteratively searching for the pupil center with an effective noise removal scheme. We demonstrated several gaze-based user interfaces, including web-browsing and photo-viewing, with a wearable eye tracker constructed using the proposed method.