Feature extraction from faces using deformable templates
International Journal of Computer Vision
Interactive-time vision: face recognition as a visual behavior
Interactive-time vision: face recognition as a visual behavior
Twenty years of eye typing: systems and design issues
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Computer and Robot Vision
Blink detection for real-time eye tracking
Journal of Network and Computer Applications
Face Detection and Precise Eyes Location
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Computer Vision and Image Understanding - Special issue on eye detection and tracking
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Optimal segmentation of pupillometric images for estimating pupil shape parameters
Computer Methods and Programs in Biomedicine
Locating and extracting the eye in human face images
Pattern Recognition
Eyes segmentation applied to gaze direction and vigilance estimation
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
IEEE Transactions on Image Processing
Computer Vision and Image Understanding
Eye tracking and universal access: three applications and practical examples
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: users diversity - Volume Part II
Information Systems Frontiers
Design of virtual keyboard using blink control method for the severely disabled
Computer Methods and Programs in Biomedicine
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Gaze is a natural input for a Human Computer Interface (HCI) for disabled people, who have of course an acute need for a communication system. An efficient eye tracking procedure is presented providing a non-invasive method for real time detection of a subject eyes in a sequence of frames captured by low cost equipment. The procedure can be easily adapted to any subject and is adequately insensitive to changing of the illumination. The eye identification is performed on a piece-wise constant approximation of the frames. It is based on a discrete level set formulation of the variational approach to the optimal segmentation problem. This yields a simplified version of the original data retaining all the information relevant to the application. Tracking is obtained by a fast update of the optimal segmentation between successive frames. No eye movement model is required being the procedure fast enough to obtain the current frame segmentation as one step update from the previous frame segmentation.