PuRe: Robust pupil detection for real-time pervasive eye tracking

@article{Santini2018PuReRP,
  title={PuRe: Robust pupil detection for real-time pervasive eye tracking},
  author={Thiago Santini and Wolfgang Fuhl and Enkelejda Kasneci},
  journal={Comput. Vis. Image Underst.},
  year={2018},
  volume={170},
  pages={40-50}
}
  • Thiago Santini, Wolfgang Fuhl, Enkelejda Kasneci
  • Published in Comput. Vis. Image Underst. 2018
  • Computer Science, Mathematics
  • Abstract Real-time, accurate, and robust pupil detection is an essential prerequisite to enable pervasive eye-tracking and its applications – e.g., gaze-based human computer interaction, health monitoring, foveated rendering, and advanced driver assistance. However, automated pupil detection has proved to be an intricate task in real-world scenarios due to a large mixture of challenges such as quickly changing illumination and occlusions. In this paper, we introduce the Pu pil Re constructor… CONTINUE READING

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