A Complementary Dual-Branch Network for Appearance-Based Gaze Estimation From Low-Resolution Facial Image

Zhu, Zhesi; Zhang, Dong; Chi, Cailong; Li, Ming; Lee, Dah-Jye

doi:10.1109/tcds.2022.3210219

Cited by 8 publications

(1 citation statement)

References 43 publications

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“…During the test, the subject-dependent bias was estimated using a few images of the subject staring at a certain point, and then the gaze was represented by adding it to the calculated gaze angle. To alleviate the problem of information loss in the low-resolution gaze estimation task, Zhu et al ( 2023 ) used the relatively fixed structure and components of human faces as prior knowledge and constructed a residual branch to recover the residual information between the low- and high-resolution images.…”

Section: Personal Calibration Informationmentioning

confidence: 99%

A review on personal calibration issues for video-oculographic-based gaze tracking

Liu,

Chi,

Yang

2024

Front. Psychol.

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Personal calibration is a process of obtaining personal gaze-related information by focusing on some calibration benchmarks when the user initially uses a gaze tracking system. It not only provides conditions for gaze estimation, but also improves gaze tracking performance. Existing eye-tracking products often require users to conduct explicit personal calibration first, thereby tracking and interacting based on their gaze. This calibration mode has certain limitations, and there is still a significant gap between theoretical personal calibration methods and their practicality. Therefore, this paper reviews the issues of personal calibration for video-oculographic-based gaze tracking. The personal calibration information in typical gaze tracking methods is first summarized, and then some main settings in existing personal calibration processes are analyzed. Several personal calibration modes are discussed and compared subsequently. The performance of typical personal calibration methods for 2D and 3D gaze tracking is quantitatively compared through simulation experiments, highlighting the characteristics of different personal calibration settings. On this basis, we discuss several key issues in designing personal calibration. To the best of our knowledge, this is the first review on personal calibration issues for video-oculographic-based gaze tracking. It aims to provide a comprehensive overview of the research status of personal calibration, explore its main directions for further studies, and provide guidance for seeking personal calibration modes that conform to natural human-computer interaction and promoting the widespread application of eye-movement interaction.

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Section: Personal Calibration Informationmentioning

confidence: 99%