Accurate Eye-Tracking from Deflectometric Information using Deep Learning
Abstract
We introduce an accurate eye-tracking method that exploits deflectometric information and uses deep learning to reconstruct the gaze direction. We demonstrate real world experiments with evaluated gaze errors below 1°.
Type
Publication
Proceedings of the 14th International Conference on Optics-Photonics Design and Fabrication
Jiwon Choi
Ph.D. Student in Optical Sciences
Jiazhang Wang
Postdoctoral Researcher
Tianfu Wang
Ph.D Student in Computer Science
