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Analysis of subject-dependent point-of-gaze estimation bias in the cross-ratios method

Published: 26 March 2008 Publication History

Abstract

The cross-ratios method for point-of-gaze estimation uses the invariance property of cross-ratios in projective transformations. The inherent causes of the subject-dependent point-of-gaze estimation bias exhibited by this method have not been well characterized in the literature. Using a model of the eye and the components of a system (camera, light sources) that estimates point-of-gaze, a theoretical framework for the cross-ratios method is developed. The analysis of the cross-ratios method within this framework shows that the subject-dependent estimation bias is caused mainly by (i) the angular deviation of the visual axis from the optic axis and (ii) the fact that the virtual image of the pupil center is not coplanar with the virtual images of the light sources that illuminate the eye (corneal reflections). The theoretical framework provides a closed-form analytical expression that predicts the estimation bias as a function of subject-specific eye parameters.

References

[1]
Corbett, M. C., Rosen, E. S., and O'Brart, D. P. S. 1999. Corneal Topography: Principles and Applications. BMJ Books.
[2]
Coutinho, F. L. and Morimoto, C. H. 2006. Free Head Motion Eye Gaze Tracking Using a Single Camera and Multiple Light Sources. In Proceedings of the XIX Brazilian Symposium on Computer Graphics and Image Processing, 171--178.
[3]
Eizenman, M., Yu, L. H., Grupp, L., Eizenman, E., Ellenbogen, M., Gemar, M., and Levitan, R. D. 2003. A Naturalistic Visual Scanning Approach to Assess Selective Attention in Major Depressive Disorder, Psychiatry Research 118, 2, 117--128.
[4]
Goldberg, J. H. and Kotval, X. P. 1999. Computer Interface Evaluation Using Eye Movements: Methods and Constructs, International Journal of Industrial Ergonomics 24, 6, 631--645.
[5]
Guestrin, E. D. and Eizenman, M. 2006. General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections, IEEE Transactions on Biomedical Engineering 53, 6, 1124--1133.
[6]
Harbluk, J. L., Noy, Y. I., Trbovich, P. L., and Eizenman, M. 2007. An On-Road Assessment of Cognitive Distraction: Impacts on Drivers' Visual Behavior and Braking Performance, Accident Analysis and Prevention 39, 2, 372--379.
[7]
Hutchinson, T. E., White, K. P., Martin, W. N., Reichert, K. C., and Frey, L. A. 1989. Human-Computer Interaction Using Eye-Gaze Input, IEEE Transactions on Systems, Man, and Cybernetics 19, 6, 1527--1534.
[8]
Kang, J. J., Guestrin, E. D., MacLean, W. J., and Eizenman, M. 2007. Simplifying the Cross-Ratios Method of Point-of-Gaze Estimation. In Proceedings of the. 30th Canadian Medical and Biological Engineering Conference (CMBEC30).
[9]
Sharma, R., Pavlović, V. I., and Huang, T. S. 1998. Toward Multimodal Human-Computer Interface, Proceedings of the. IEEE 86, 5, 853--869.
[10]
Villanueva, A. and Cabeza, R. 2007. Models for Gaze Tracking Systems, EURASIP Journal on Image and Video Processing 2007, article ID 23570.
[11]
Yoo, D. H., Kim, J. H., Lee, B. R., and Chung, M. J. 2002. Non-Contact Eye Gaze Tracking System by Mapping of Corneal Reflections. In Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition, 94--99.
[12]
Yoo, D. H. and Chung, M. J. 2005. A Novel Non-Intrusive Eye Gaze Estimation Using Cross-Ratio under Large Head Motion, Computer Vision and Image Understanding 98, 1, 25--51.

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  • (2018)A Data-Driven Approach for Gaze Tracking2018 14th IEEE International Conference on Signal Processing (ICSP)10.1109/ICSP.2018.8652292(494-499)Online publication date: Aug-2018
  • (2013)A novel remote eye gaze tracking approach with dynamic calibration2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP.2013.6659273(111-116)Online publication date: Sep-2013
  • (2012)A human-computer interface design using automatic gaze tracking2012 IEEE 11th International Conference on Signal Processing10.1109/ICoSP.2012.6491893(1633-1636)Online publication date: Oct-2012
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cover image ACM Conferences
ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications
March 2008
285 pages
ISBN:9781595939821
DOI:10.1145/1344471
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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New York, NY, United States

Publication History

Published: 26 March 2008

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Author Tags

  1. cross-ratios
  2. eye model
  3. eye parameters
  4. point-of-gaze
  5. remote gaze estimation

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ETRA '08
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

View all
  • (2018)A Data-Driven Approach for Gaze Tracking2018 14th IEEE International Conference on Signal Processing (ICSP)10.1109/ICSP.2018.8652292(494-499)Online publication date: Aug-2018
  • (2013)A novel remote eye gaze tracking approach with dynamic calibration2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP.2013.6659273(111-116)Online publication date: Sep-2013
  • (2012)A human-computer interface design using automatic gaze tracking2012 IEEE 11th International Conference on Signal Processing10.1109/ICoSP.2012.6491893(1633-1636)Online publication date: Oct-2012
  • (2012)Improving Head Movement Tolerance of Cross-Ratio Based Eye TrackersInternational Journal of Computer Vision10.1007/s11263-012-0541-8101:3(459-481)Online publication date: 6-Jun-2012

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