Estimate Gaze Point of Table-Meeting Participants by Spherical Camera

抄録

In this paper, we propose a method of estimating the gaze point of table-meeting participants by a spherical camera. Assuming participants are sitting around a table and observed by a spherical camera, multiple persons and their gaze points can be observed by a single camera simultaneously. In contrast with the previous research on estimating gaze points using a spherical camera based on a spherical model, we develop a deeper neural network and add a normalization term to the cost function which constrains estimated gaze points onto a unit sphere. As shown in the results of the comparative experiments, the proposed method improves the accuracy of gaze point estimation significantly.