Accurate eye tracking from dense 3D surface reconstructions using single-shot deflectometry

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°.

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Publication Details

Journal
Nature Communications
Published
2025-04-01
DOI
https://doi.org/10.1038/s41467-025-56801-1
Citations
10
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
19.36
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article

Accurate eye tracking from dense 3D surface reconstructions using single-shot deflectometry

Jiazhang Wang, Tianfu Wang, Florian Willomitzer, Oliver Cossairt et al.
10 citations
Nature Communications
Gaze Tracking and Assistive Technology
19.36
article

Accurate eye tracking from dense 3D surface reconstructions using single-shot deflectometry

Jiazhang Wang, Tianfu Wang, Florian Willomitzer, Oliver Cossairt, Bingjie Xu
article en
10 citations

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°.

Nature CommunicationsVol. 16(1)
Northwestern University (US), University of Arizona (US), ETH Zurich (CH)
Sustainable cities and communities
Openalex Percentile: Top 1%
Gaze Tracking and Assistive Technology
19.36
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