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- W3165604356 abstract "Most of the previous work on eye-tracking has focused on positional information of the eye features. Recent advances in camera technology such as high-resolution and event cameras allow consideration of the velocity estimate for eye tracking. Some previous work on velocity-based estimates has demonstrated high-precision gaze estimation by tracking the motion of iris features on high-resolution images rather than by exploiting pupil edges. While these methods provide high precision, the bottleneck for velocity-based methods are temporal drift and the inability to track across blinks. In this work, we present a new theoretical methodology (πt) to address these issues by optimally combining low-temporal frequency components of the pupil edges with the high-temporal frequency components from the iris textures. We show improved precision with this method while fixating a series of small targets and following a smoothly moving target. Further, we demonstrate the capability to reliably identify microsaccades between targets separated by 0.2°." @default.
- W3165604356 created "2021-06-07" @default.
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- W3165604356 date "2021-05-25" @default.
- W3165604356 modified "2023-10-14" @default.
- W3165604356 title "Enhancing the precision of remote eye-tracking using iris velocity estimation" @default.
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- W3165604356 doi "https://doi.org/10.1145/3448018.3458010" @default.
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