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In this paper, an eye detection method is proposed based on the features of eye images generated in the gaze tracking environment. By configuring the corneal specular reflection detector, pupil detector, and eyelid detector in a cascade format, in actual applications reliable eye detection can be achieved even when an image of only one eye is captured because a part of the user moves out of camera...
This paper presents eye detection method for gaze tracking system using the features of eye and corneal reflection. The proposed method sequentially discards the regions that are expected not to be an eye by classifiers based on the features such as pupil intensity and appearance, corneal reflection intensity, and so on. The classifiers are designed with some empirical parameters, thus the proposed...
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