Unsupervised Eye Center Localization Approaches for Real Time Eye Gaze Tracking Applications
نویسندگان
چکیده
This work deals with exploration of the latest and the most effective unsupervised approaches for automatic eye center localization, which may be suitable for the real time eye gaze tracking applications. These approaches were based upon direct mathematical formulations and principles without needing any complex trained models. The experiment was performed over standard face image dataset, which showed varying accuracy and processing times for automatic detection of pupil location in each face image. The outcome of this study suggested the significance and efficiency of each unsupervised approach for eye center localization under unconstraint environments. The results may be useful for the development of fast and accurate real time eye gaze tracking applications for interactive usage.
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