no code implementations • 17 Mar 2021 • Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz
Recent advances in appearance-based models have shown improved eye tracking performance in difficult scenarios like occlusion due to eyelashes, eyelids or camera placement, and environmental reflections on the cornea and glasses.
no code implementations • 20 Sep 2020 • Aayush K. Chaudhary, Jeff B. Pelz
A new high-precision eye-tracking method has been demonstrated recently by tracking the motion of iris features rather than by exploiting pupil edges.
3 code implementations • 19 Jul 2020 • Rakshit S. Kothari, Aayush K. Chaudhary, Reynold J. Bailey, Jeff B. Pelz, Gabriel J. Diaz
Ellipse fitting, an essential component in pupil or iris tracking based video oculography, is performed on previously segmented eye parts generated using various computer vision techniques.
no code implementations • 5 Jun 2020 • Nitinraj Nair, Rakshit Kothari, Aayush K. Chaudhary, Zhizhuo Yang, Gabriel J. Diaz, Jeff B. Pelz, Reynold J. Bailey
Deep neural networks for video-based eye tracking have demonstrated resilience to noisy environments, stray reflections, and low resolution.
no code implementations • 3 Apr 2020 • Aayush K. Chaudhary, Jeff B. Pelz
Video-based eye trackers estimate gaze based on eye images/videos.
2 code implementations • 1 Oct 2019 • Aayush K. Chaudhary, Rakshit Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel Diaz, Jeff B. Pelz
Accurate eye segmentation can improve eye-gaze estimation and support interactive computing based on visual attention; however, existing eye segmentation methods suffer from issues such as person-dependent accuracy, lack of robustness, and an inability to be run in real-time.
Ranked #1 on Semantic Segmentation on OpenEDS