Real-time, accurate, and robust pupil detection is an essential prerequisite to enable
pervasive eye-tracking and its applications–eg, gaze-based human computer interaction,
health monitoring, foveated rendering, and advanced driver assistance. However,
automated pupil detection has proved to be an intricate task in real-world scenarios due to a
large mixture of challenges such as quickly changing illumination and occlusions. In this
paper, we introduce the Pupil Reconstructor (PuRe), a method for pupil detection in …