Appearance-based Eye Gaze Estimation
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Eye Gaze Estimation from a Single Image of One Eye
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Implicit Calibration of a Remote Gaze Tracker
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 8 - Volume 08
Sparse and Semi-supervised Visual Mapping with the S^3GP
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Proceedings of the 2008 symposium on Eye tracking research & applications
An Incremental Learning Method for Unconstrained Gaze Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
A novel non-intrusive eye gaze estimation using cross-ratio under large head motion
Computer Vision and Image Understanding - Special issue on eye detection and tracking
A natural head pose and eye gaze dataset
Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eye gaze tracking with free head movements using a single camera
Proceedings of the 2010 Symposium on Information and Communication Technology
Probabilistic gaze estimation without active personal calibration
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A Novel Gaze Estimation System With One Calibration Point
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Combining Head Pose and Eye Location Information for Gaze Estimation
IEEE Transactions on Image Processing
Point of gaze estimation through corneal surface reflection in an active illumination environment
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
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When estimating human gaze directions from captured eye appearances, most existing methods assume a fixed head pose because head motion changes eye appearance greatly and makes the estimation inaccurate. To handle this difficult problem, in this paper, we propose a novel method that performs accurate gaze estimation without restricting the user's head motion. The key idea is to decompose the original free-head motion problem into subproblems, including an initial fixed head pose problem and subsequent compensations to correct the initial estimation biases. For the initial estimation, automatic image rectification and joint alignment with gaze estimation are introduced. Then compensations are done by either learning-based regression or geometric-based calculation. The merit of using such a compensation strategy is that the training requirement to allow head motion is not significantly increased; only capturing a 5-s video clip is required. Experiments are conducted, and the results show that our method achieves an average accuracy of around 3^o by using only a single camera.