Enhancing gaze estimation through fine-grained analysis of eye region

Hideharu Sugiyama; Hiroshi Watanabe

doi:10.1117/12.3018061

2 May 2024 Enhancing gaze estimation through fine-grained analysis of eye region

Hideharu Sugiyama, Hiroshi Watanabe

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 131640E (2024) https://doi.org/10.1117/12.3018061
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

Gaze estimation is the task of estimating the direction of human gaze, and gaze information is an important component of understanding human nonverbal communication. Appearance-based methods have low hardware cost and low hurdles in terms of shooting conditions, since they use only appearance images from common RGB cameras as input. Therefore, appearance-based gaze estimation methods are in high demand in the real world. However, previous appearance-based methods have not adequately taken head orientation into account. Therefore, this paper proposes a new gaze estimation method that includes two block structures, coarse and fine, to account for pupil orientation and head orientation. Evaluation experiments show state-of-the-art performance on the Gaze360, RT-GENE, and MPIIFaceGaze datasets. We confirm that the proposed method, which mimics the human gaze mechanism, is effective in gaze estimation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hideharu Sugiyama and Hiroshi Watanabe "Enhancing gaze estimation through fine-grained analysis of eye region", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 131640E (2 May 2024); https://doi.org/10.1117/12.3018061

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