The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
Abstract
Despite active research and significant progress in the last 30 years, eye detection and tracking remains challenging due to the individuality of eyes, occlusion, variability in scale, location, and light conditions. Data on eye location and details of eye movements have numerous applications and are essential in face detection, biometric identification, and particular human-computer interaction tasks. This paper reviews current progress and state of the art in video-based eye detection and tracking in order to identify promising techniques as well as issues to be further addressed. We present a detailed review of recent eye models and techniques for eye detection and tracking. We also survey methods for gaze estimation and compare them based on their geometric properties and reported accuracies. This review shows that, despite their apparent simplicity, the development of a general eye detection technique involves addressing many challenges, requires further theoretical developments, and is consequently of interest to many other domains problems in computer vision and beyond.
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Cites
Cootes, T. F., Edwards, G. J., & Taylor, C. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927467 · Cited by 5,409
Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560
Effective eye-gaze input into windows
Lankford, C. (2000) · Proceedings of the symposium on Eye tracking research & applications - ETRA '00 · doi:10.1145/355017.355021 · Cited by 119
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Baltrusaitis, T., Zadeh, A., Lim, Y. C., & Morency, L.-P. (2018) · 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) · doi:10.1109/fg.2018.00019 · Cited by 1,861
Loneliness Across the Life Span
Qualter, P., Vanhalst, J., Harris, R., Van Roekel, E., Lodder, G., Bangee, M., Maes, M., & Verhagen, M. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691615568999 · Cited by 1,080
Jiang, M., Huang, S., Duan, J., & Zhao, Q. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298710 · Cited by 729
Eye Tracking and Eye-Based Human–Computer Interaction
Majaranta, P., & Bulling, A. (2014) · Human–Computer Interaction Series · doi:10.1007/978-1-4471-6392-3_3 · Cited by 530
Eye tracking in virtual reality
Clay, V., König, P., & König, S. U. (2019) · Journal of Eye Movement Research · doi:10.16910/jemr.12.1.3 · Cited by 412
Metadata
- Authors
- Hansen, D. W., & Ji, Q.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2010-03
- Volume
- 32
- Issue
- 3
- Pages
- 478-500
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2167020116
- Cited by
- 1,546
- References
- 3
- FWCI
- 113.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hansen, D. W., & 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. https://doi.org/10.1109/tpami.2009.30
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