Dynamic contours: real-time active splines
Active vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Personal Identification Based on Iris Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eye and gaze tracking for interactive graphic display
Machine Vision and Applications
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Robust iris location in close-up images of the eye
Pattern Analysis & Applications
Visual capture and understanding of hand pointing actions in a 3-D environment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel approach to 3-D gaze tracking using stereo cameras
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
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A single-camera iris-tracking and remapping approach based on passive computer vision is presented. Tracking is aimed at obtaining accurate and robust measurements of the iris/pupil position. To this purpose, a robust method for ellipse fitting is used, employing search constraints so as to achieve better performance with respect to the standard RANSAC algorithm. Tracking also embeds an iris localization algorithm (working as a bootstrap multiple-hypotheses generation step), and a blink detector that can detect voluntary eye blinks in human-computer interaction applications. On-screen remapping incorporates a head-tracking method capable of compensating for small user-head movements. The approach operates in real time under different light conditions and in the presence of distractors. An extensive set of experiments is presented and discussed. In particular, an evaluation method for the choice of layout of both hardware components and calibration points is described. Experiments also investigate the importance of providing a visual feedback to the user, and the benefits gained from performing head compensation, especially during image-to-screen map calibration.