3D Gaze Estimation for Head-Mounted Eye Tracking System With Auto-Calibration Method

The general challenges of 3D gaze estimation for head-mounted eye tracking systems are inflexible marker-based calibration procedure and significant errors of depth estimation. In this paper, we propose a 3D gaze estimation with an auto-calibration method. To acquire the accurate 3D structure of the...

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Bibliographic Details
Main Authors: Meng Liu, Youfu Li, Hai Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9107144/