Author
Listed:
- Jiazhang Wang
(University of Arizona
Northwestern University)
- Tianfu Wang
(ETH Zürich)
- Bingjie Xu
(Northwestern University)
- Oliver Cossairt
(Northwestern University
Northwestern University)
- Florian Willomitzer
(University of Arizona
Northwestern University
Northwestern University)
Abstract
Eye-tracking plays a crucial role in the development of virtual reality devices, neuroscience research, and psychology. Despite its significance in numerous applications, achieving an accurate, robust, and fast eye-tracking solution remains a considerable challenge for current state-of-the-art methods. While existing reflection-based techniques (e.g., “glint tracking") are considered to be very accurate, their performance is limited by their reliance on sparse 3D surface data acquired solely from the cornea surface. In this paper, we rethink the way how specular reflections can be used for eye tracking: We propose a method for accurate and fast evaluation of the gaze direction that exploits teachings from single-shot phase-measuring-deflectometry. In contrast to state-of-the-art reflection-based methods, our method acquires dense 3D surface information of both cornea and sclera within only one single camera frame (single-shot). For a typical measurement, we acquire >3000× more surface reflection points ("glints”) than conventional methods. We show the feasibility of our approach with experimentally evaluated gaze errors on a realistic model eye below only 0.13°. Moreover, we demonstrate quantitative measurements on real human eyes in vivo, reaching accuracy values between only 0.46° and 0.97°.
Suggested Citation
Jiazhang Wang & Tianfu Wang & Bingjie Xu & Oliver Cossairt & Florian Willomitzer, 2025.
"Accurate eye tracking from dense 3D surface reconstructions using single-shot deflectometry,"
Nature Communications, Nature, vol. 16(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56801-1
DOI: 10.1038/s41467-025-56801-1
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56801-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.