Accuracy of Monocular Gaze Tracking on 3D Geometry

  • Xi Wang
  • David Lindlbauer
  • Christian Lessig
  • Marc Alexa
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

Abstract

Many applications such as data visualization or object recognition benefit from accurate knowledge of where a person is looking at. We present a system for accurately tracking gaze positions on a three dimensional object using a monocular head mounted eye tracker. We accomplish this by (1) using digital manufacturing to create stimuli whose geometry is know to high accuracy, (2) embedding fiducial markers into the manufactured objects to reliably estimate the rigid transformation of the object, and, (3) using a perspective model to relate pupil positions to 3D locations. This combination enables the efficient and accurate computation of gaze position on an object from measured pupil positions. We validate the of our system experimentally, achieving an angular resolution of 0.8 and a 1.5 % depth error using a simple calibration procedure with 11 points.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Xi Wang
    • 1
  • David Lindlbauer
    • 1
  • Christian Lessig
    • 1
  • Marc Alexa
    • 1
  1. 1.TU BerlinBerlinGermany

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