EyeLinks: Methods to compute reliable stereo mappings used for eye gaze tracking

Moayad Mokatren, Tsvi Kuflik, Ilan Shimshoni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present methods for extracting corneal images and estimating pupil centers continuously and reliably using head worn glasses that consists of two eye cameras. An existing CNN was modified for detecting pupils in IR and RGB images, and stereo vision together with 2D and 3D models are used. We confirm the feasibility of the proposed methods through user study results, which show that the methods can be used in future real gaze estimation systems.

Original languageEnglish
Title of host publicationProceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371346
DOIs
StatePublished - 6 Feb 2020
Event2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 - Stuttgart, Germany
Duration: 2 Jun 20205 Jun 2020

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
Country/TerritoryGermany
CityStuttgart
Period2/06/205/06/20

Bibliographical note

Funding Information:
The study was partially supported by the Israeli ISF grant 262/17

Publisher Copyright:
© 2020 ACM.

Keywords

  • Corneal Imaging
  • Gaze Estimation
  • Mapping Transformation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems

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