Computer Vision and Image Understanding - Special issue on eye detection and tracking
Corneal Imaging System: Environment from Eyes
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Application of the Fisher-Rao Metric to Ellipse Detection
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Models for gaze tracking systems
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On the Calibration of Non Single Viewpoint Catadioptric Sensors
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Computer Vision and Image Understanding - Special issue on eye detection and tracking
Single image face orientation and gaze detection
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Tracking Iris contour with a 3D eye-model for gaze estimation
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FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Display-camera calibration using eye reflections and geometry constraints
Computer Vision and Image Understanding
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Estimating the visual direction with two-circle algorithm
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Digital eco-system for online shopping
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Learning gaze biases with head motion for head pose-free gaze estimation
Image and Vision Computing
Visual Focus of Attention in Non-calibrated Environments using Gaze Estimation
International Journal of Computer Vision
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In this paper, we present a novel approach, called the"one-circle"algorithm, for measuring the eye gaze using a monocular image thatzooms in on only one eye of a person. Observing that the iriscontour is a circle, we estimate the normal direction of this iriscircle, considered as the eye gaze, from its elliptical image. Frombasic projective geometry, an ellipse can be back-projected intospace onto two circles of different orientations. However, by usingan anthropometric property of the eyeball, the correct solution canbe disambiguated. This allows us to obtain a higher resolutionimage of the iris with a zoom-in camera and thereby achievinghigher accuracies in the estimation. The robustness of our gazedetermination approach was verified statistically by the extensiveexperiments on synthetic and real image data. The two keycontributions in this paper are that we show the possibility offinding the unique eye gaze direction from a single image of oneeye and that one can obtain better accuracy as a consequence ofthis.