Auto-Calibrated Gaze Estimation Using Human Gaze Patterns-Reference-Cited by-同舟云学术

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Auto-Calibrated Gaze Estimation Using Human Gaze Patterns

Published:2017-05-17 Issue:2 Volume:124 Page:223-236
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vis

Author:

Alnajar Fares,Gevers Theo,Valenti Roberto,Ghebreab Sennay

Funder

University of Amsterdam

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/article/10.1007/s11263-017-1014-x/fulltext.html

Reference29 articles.

1. Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2013). Calibration-free gaze estimation using human gaze patterns. In IEEE international conference on computer vision (ICCV) (pp. 137–144).

2. Chen, J., & Ji, Q. (2011). Probabilistic gaze estimation without active personal calibration. In IEEE computer vision and pattern recognition (CVPR) (pp. 609–616).

3. Draelos, M., Qiu, Q., Bronstein, A., & Sapiro, G. (2015). Intel realsense= real low cost gaze. In International conference on image processing.

4. Geusebroek, J.-M., & Smeulders, A. W. M. (2005). A six-stimulus theory for stochastic texture. International Journal of Computer Vision, 62, 7–16.

5. Guestrin, E. D., & 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.

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4. Self-Calibrating Gaze Estimation via Matching Spatio-Temporal Reading Patterns and Eye-Feature Patterns;IEEE Transactions on Industrial Informatics;2024

5. 3D Gaze Estimation Using RGB-IR Cameras;Sensors;2022-12-29

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