Implicit User Calibration for Model-based Gaze-tracking System using Face Detection around Optical Axis of Eye
Author:
Affiliation:
1. Kobe University, Kobe, Hyogo, Japan
Funder
JSPS KAKENHI
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3290607.3312942
Reference8 articles.
1. Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Paul Natsev George Toderici Balakrishnan Varadarajan and Sudheendra Vijayanarasimhan. 2016. YouTube-8M: A Large-Scale Video Classification Benchmark. arXiv:1609.08675 {cs.CV} (2016) http://arxiv.org/abs/1609.08675. Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Paul Natsev George Toderici Balakrishnan Varadarajan and Sudheendra Vijayanarasimhan. 2016. YouTube-8M: A Large-Scale Video Classification Benchmark. arXiv:1609.08675 {cs.CV} (2016) http://arxiv.org/abs/1609.08675.
2. General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections
3. Implicit user calibration for gaze-tracking systems using an averaged saliency map around the optical axis of the eye
4. A model of saliency-based visual attention for rapid scene analysis
5. Comparison of mapping algorithms for implicit calibration using probable fixation targets
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