research-article

Robust glint detection through homography normalization

Authors:

Dan Witzner Hansen,

Lars Roholm,

Iván García FerreirosAuthors Info & Claims

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 91 - 94

https://doi.org/10.1145/2578153.2578165

Published: 26 March 2014 Publication History

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Abstract

A novel normalization principle for robust glint detection is presented. The method is based on geometric properties of corneal reflections and allows for simple and effective detection of glints even in the presence of several spurious and identically appearing reflections. The method is tested on both simulated and data obtained from web cameras. The proposed method is a possible direction towards making eye trackers more robust to challenging scenarios.

References

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Hansen, D. W., and Ji, Q. 2010. In the eye of the beholder: A survey of models for eyes and gaze. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 3, 478--500.

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Hansen, D. W., Agustin, J. S., and Villanueva, A. 2010. Homography normalization for robust gaze estimation in uncalibrated setups. In ETRA, 13--20.

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Hennessy, C., and Lawrence, P. 2009. Improving the accuracy and reliability of remote system-calibration-free eye-gaze tracking. In IEEE Transactions on Biomedical Engineering., vol. 56, 1891--1900.

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Li, F., Kolakowski, S. M., and Pelz, J. B. 2007. Using structured illumination to enhance video-based eye tracking. In International Conference on Image Analysis, 373--376.

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Cited By

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Narcizo Fdos Santos FHansen D(2021)High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking MethodsVision10.3390/vision50300415:3(41)Online publication date: 15-Sep-2021
https://doi.org/10.3390/vision5030041
Niu LGu ZYe JDong Q(2021)Real-Time Localization and Matching of Corneal Reflections for Eye Gaze Estimation via a Lightweight NetworkProceedings of the Ninth International Symposium of Chinese CHI10.1145/3490355.3490359(33-40)Online publication date: 16-Oct-2021
https://dl.acm.org/doi/10.1145/3490355.3490359
Chugh SBrousseau BRose JEizenman M(2021)Detection and Correspondence Matching of Corneal Reflections for Eye Tracking Using Deep Learning2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412066(2210-2217)Online publication date: 10-Jan-2021
https://doi.org/10.1109/ICPR48806.2021.9412066
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Index Terms

Robust glint detection through homography normalization
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding
  2. Computer graphics
    1. Image manipulation

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Published In

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2014

394 pages

ISBN:9781450327510

DOI:10.1145/2578153

Conference Chairs:
Pernilla Qvarfordt
FX Palo Alto Laboratory
,
Dan Witzner Hansen
IT University, Denmark

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 2014

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ETRA '14: Eye Tracking Research and Applications

March 26 - 28, 2014

Florida, Safety Harbor

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Narcizo Fdos Santos FHansen D(2021)High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking MethodsVision10.3390/vision50300415:3(41)Online publication date: 15-Sep-2021
https://doi.org/10.3390/vision5030041
Niu LGu ZYe JDong Q(2021)Real-Time Localization and Matching of Corneal Reflections for Eye Gaze Estimation via a Lightweight NetworkProceedings of the Ninth International Symposium of Chinese CHI10.1145/3490355.3490359(33-40)Online publication date: 16-Oct-2021
https://dl.acm.org/doi/10.1145/3490355.3490359
Chugh SBrousseau BRose JEizenman M(2021)Detection and Correspondence Matching of Corneal Reflections for Eye Tracking Using Deep Learning2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412066(2210-2217)Online publication date: 10-Jan-2021
https://doi.org/10.1109/ICPR48806.2021.9412066
Uhm KKang MKim JKo S(2020)Improving the robustness of gaze tracking under unconstrained illumination conditionsMultimedia Tools and Applications10.1007/s11042-020-08679-y79:29-30(20603-20616)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s11042-020-08679-y
Morimoto CCoutinho FHansen D(2020)Screen-Light Decomposition Framework for Point-of-Gaze Estimation Using a Single Uncalibrated Camera and Multiple Light SourcesJournal of Mathematical Imaging and Vision10.1007/s10851-020-00947-862:4(585-605)Online publication date: 15-Feb-2020
https://dl.acm.org/doi/10.1007/s10851-020-00947-8
Hansen DHeinrich ACañal-Bruland RKrejtz KSharif B(2019)Aiming for the quiet eye in biathlonProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319850(1-7)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319850
Balthasar SMartin MCamp FHild JBeyerer J(2016)Combining Low-Cost Eye Trackers for Dual Monitor Eye TrackingProceedings, Part II, of the 18th International Conference on Human-Computer Interaction. Interaction Platforms and Techniques - Volume 973210.1007/978-3-319-39516-6_1(3-12)Online publication date: 17-Jul-2016
https://dl.acm.org/doi/10.1007/978-3-319-39516-6_1

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Homography normalization for robust gaze estimation in uncalibrated setups

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