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Calibration-free eye tracking by reconstruction of the pupil ellipse in 3D space

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Markus AblassmeierAuthors Info & Claims

ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

Pages 135 - 138

https://doi.org/10.1145/1344471.1344506

Published: 26 March 2008 Publication History

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Abstract

Most video-based eye trackers require a calibration procedure before measurement onset. In this work a stereo approach is presented that yields the position and orientation of the pupil in 3D space. This is achieved by analyzing the pupil images of two calibrated cameras and by a subsequent closed-form stereo reconstruction of the original pupil surface. Under the assumption that the gaze-vector is parallel to the pupil normal vector, the line of sight can be calculated without the need for the usual calibration that requires the user to fixate targets with known spatial locations.

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Cited By

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Li YBai XXie LWang XLu FZhang FYan YYin E(2024)Real-Time Gaze Tracking via Head-Eye Cues on Head Mounted DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2024.342592823:12(13292-13309)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3425928
Zheng YChao QAn YHirsh SFix A(2023)Fringe projection-based single-shot 3D eye tracking using deep learning and computer graphicsOptical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) IV10.1117/12.2667763(140)Online publication date: 16-Mar-2023
https://doi.org/10.1117/12.2667763
Kuang CKephart JJi Q(2023)Towards an Accurate 3D Deformable Eye Model for Gaze EstimationPattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges10.1007/978-3-031-37660-3_8(109-123)Online publication date: 30-Jul-2023
https://doi.org/10.1007/978-3-031-37660-3_8
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Index Terms

Calibration-free eye tracking by reconstruction of the pupil ellipse in 3D space
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

March 2008

285 pages

ISBN:9781595939821

DOI:10.1145/1344471

Conference Chairs:
Kari-Jouko Räihä
University of Tampere, Finland
,
Andrew T. Duchowski
Clemson University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2008

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ETRA '08

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ETRA '08: Eye Tracking Research and Applications

March 26 - 28, 2008

Georgia, Savannah

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

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Li YBai XXie LWang XLu FZhang FYan YYin E(2024)Real-Time Gaze Tracking via Head-Eye Cues on Head Mounted DevicesIEEE Transactions on Mobile Computing10.1109/TMC.2024.342592823:12(13292-13309)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3425928
Zheng YChao QAn YHirsh SFix A(2023)Fringe projection-based single-shot 3D eye tracking using deep learning and computer graphicsOptical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) IV10.1117/12.2667763(140)Online publication date: 16-Mar-2023
https://doi.org/10.1117/12.2667763
Kuang CKephart JJi Q(2023)Towards an Accurate 3D Deformable Eye Model for Gaze EstimationPattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges10.1007/978-3-031-37660-3_8(109-123)Online publication date: 30-Jul-2023
https://doi.org/10.1007/978-3-031-37660-3_8
Brilhault ANeuenschwander SRios R(2022)A new robust multivariate mode estimator for eye-tracking calibrationBehavior Research Methods10.3758/s13428-022-01809-455:2(516-553)Online publication date: 16-Mar-2022
https://doi.org/10.3758/s13428-022-01809-4
Meyer JWilm TFiess RSchlebusch TStork WKasneci E(2022)A Holographic Single-Pixel Stereo Camera Sensor for Calibration-free Eye-Tracking in Retinal Projection Augmented Reality Glasses2022 Symposium on Eye Tracking Research and Applications10.1145/3517031.3529616(1-7)Online publication date: 8-Jun-2022
https://dl.acm.org/doi/10.1145/3517031.3529616
Yan ZWu YShan YChen WLi X(2022)A dataset of eye gaze images for calibration-free eye tracking augmented reality headsetScientific Data10.1038/s41597-022-01200-09:1Online publication date: 29-Mar-2022
https://doi.org/10.1038/s41597-022-01200-0
Fuhl WGao HKasneci E(2020)Neural networks for optical vector and eye ball parameter estimationACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391346(1-5)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379156.3391346
Santini TNiehorster DKasneci EKrejtz KSharif B(2019)Get a gripProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319835(1-10)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319835
Brilhault ANeuenschwander SAraujo Rios R(2019)Using Clustering in Eye-Tracking Calibration Task2019 8th Brazilian Conference on Intelligent Systems (BRACIS)10.1109/BRACIS.2019.00115(627-632)Online publication date: Oct-2019
https://doi.org/10.1109/BRACIS.2019.00115
Nitschke CNakazawa A(2017)Corneal ImagingThe Wiley Handbook of Human Computer Interaction10.1002/9781118976005.ch21(445-514)Online publication date: 28-Dec-2017
https://doi.org/10.1002/9781118976005.ch21
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