Abstract:
Gaze estimation has a wide range of applications such as neuroscience and clinical research. In this paper, we propose and implement a fast and accurate user-specific gaz...Show MoreMetadata
Abstract:
Gaze estimation has a wide range of applications such as neuroscience and clinical research. In this paper, we propose and implement a fast and accurate user-specific gaze estimation system, called FAU-Gaze. FAU-Gaze supports online real-time training with an inference speed of up to 7-11.5 ms in 100 FPS. Compared with existing models, the kernel model FPGC (Feature-based Personalized Gaze Calibrator) of FAU-Gaze increases the accuracy by 36.4% and 33.7% on MPIIFaceGaze and TabletGaze respectively. By mining each user's potential characteristics, FAU-Gaze can more accurately locate each user's real gaze position. In order to test FAU-Gaze, we also introduce a low-resolution and low-definition laptop gaze estimation dataset TobiiGaze containing 41,000 images. Through our experiments on both TobiiGaze, MPIIFaceGaze, and TabletGaze, the prediction error of FAU-Gaze is reduced to 1.61 cm and the robustness outperforms the state-of-the-art.
Date of Conference: 18-23 June 2023
Date Added to IEEE Xplore: 02 August 2023
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School of Cyberspace Security, Dongguan University of Technology, Dongguan, China
School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China
School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China
School of Cyberspace Security, Dongguan University of Technology, Dongguan, China
School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Contents School of Cyberspace Security, Dongguan University of Technology, Dongguan, China
School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China
School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China
School of Cyberspace Security, Dongguan University of Technology, Dongguan, China
School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China
