| Summary: | 碩士 === 國立臺灣科技大學 === 資訊工程系 === 98 === Eye gaze tracking is a technique which is commonly used in human-computer
interaction. By determining the eye gaze, the point-of-regard can be estimated by intersecting the gaze line and the target plane.
A particular assumption is that irises are regarded as ellipses rather than circles in our approach. Besides, only one eye is required in the processes of the approach. The unique eye gaze can be computed via some image processing techniques and exploiting geometric properties of circles and ellipses in the 3D space.
In this thesis we show that with low resolution images, the accuracy of the
results is reduced than with high resolution ones. Furthermore, conspicuous eyelid edges may lead the results to be unsatisfied. However, four distinct clusters can be separated robustly with both the influences of resolution and eyelids.
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