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 language | English |
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Title of host publication | Proceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450371346 |
DOIs | |
State | Published - 6 Feb 2020 |
Event | 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 - Stuttgart, Germany Duration: 2 Jun 2020 → 5 Jun 2020 |
Publication series
Name | Eye Tracking Research and Applications Symposium (ETRA) |
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Conference
Conference | 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 |
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Country/Territory | Germany |
City | Stuttgart |
Period | 2/06/20 → 5/06/20 |
Bibliographical note
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