Just blink your eyes: a head-free gaze tracking system
CHI '03 Extended Abstracts on Human Factors in Computing Systems
An Algorithm for Real-Time Stereo Vision Implementation of Head Pose and Gaze Direction Measurement
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Non-Intrusive Gaze Tracking Using Artificial Neural Networks
Non-Intrusive Gaze Tracking Using Artificial Neural Networks
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Estimating the eye gaze from one eye
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
Conic-based algorithm for visual line estimation from one image
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Eye-gaze detection from monocular camera image using parametric template matching
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Hi-index | 0.00 |
We propose a method to estimate gaze direction in real time with a single camera based on four reference points and three calibration images. First, the position at which the eyeball center is projected is calculated as a linear combination of those of the reference points. Then, the gaze direction is estimated as a vector connecting the calculated eyeball center and the detected iris center. The algorithm is head pose free. We implemented the algorithm on a PC with a Xeon 2.2-GHz CPU, which works at a rate of 30 fps.