Geometric Eye Gaze Tracking

نویسندگان

  • Adam Strupczewski
  • Blazej Czuprynski
  • Jacek Naruniec
  • Kamil Mucha
چکیده

This paper presents a novel eye gaze estimation method based on calculating the gaze vector in a geometric approach. There have been many publications in the topic of eye gaze estimation, but most are related to using dedicated infra red equipment and corneal glints. The presented approach, on the other hand, assumes that only an RGB input image of the user’s face is available. Furthermore, it requires no calibration but only simple one-frame initialization. In comparison to other systems presented in literature, our method has better accuracy. The presented method relies on determining the 3D location of the face and eyes in the initialization frame, tracking these locations in each consecutive frame and using this knowledge to estimating the gaze vector and point where the user is looking. The algorithm runs in real time on mobile devices.

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تاریخ انتشار 2016