Publication

A Simple Real-Time Eye Tracking and Calibration Approach for Autostereoscopic 3D Displays

Christian Bailer, José Henriques, Norbert Schmitz, Didier Stricker

In: Proceedings of the 10th International Conference on Computer Vision Theory and Applications |. International Conference on Computer Vision Theory and Applications (VISAPP-15) 10th March 11-14 Berlin Germany SCITEPRESS Digital Library 2015.

Abstract

In this paper a simple eye tracking and calibration approach for glasses-free stereoscopic 3D displays is presented that requires only one ordinary camera for tracking. The approach is designed for the use with parallax barrier based screens, but should with(out) limitations also be usable with other autostereoscopic screens. The robust eye tracking approach can easily be reimplemented and is based on well chosen search areas and parameters that were determined experimentally. Thanks to efficient eye position prediction delays can be eliminated that are normally a problem in realtime systems. The calibration approach allows us to calibrate the eye tracking camera to the 3D screen in a direct and simple way. Direct means that the calibration is realized pixel-wise and simple means that there is no need for a (complex) camera/screen model in contrast to many other calibration approaches. There is even no need to determine any camera parameter for calibration. The accuracy of the eye tracking approach and the eye position prediction is evaluated experimentally.

Projekte

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz