  While for the evaluation of robustness of eye tracking algorithms the use of
real-world data is essential, there are many applications where simulated,
synthetic eye images are of advantage. They can generate labelled ground-truth
data for appearance based gaze estimation algorithms or enable the development
of model based gaze estimation techniques by showing the influence on gaze
estimation error of different model factors that can then be simplified or
extended. We extend the generation of synthetic eye images by a simulation of
refraction and reflection for eyeglasses. On the one hand this allows for the
testing of pupil and glint detection algorithms under different illumination
and reflection conditions, on the other hand the error of gaze estimation
routines can be estimated in conjunction with different eyeglasses. We show how
a polynomial function fitting calibration performs equally well with and
without eyeglasses, and how a geometrical eye model behaves when exposed to
glasses.
