User-calibration-free remote gaze estimation system
User-calibration-free remote gaze estimation system
复制标题
免用户校准的远程注视估计系统
DOI：
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复制
发表时间：
2010
期刊：
影响因子：
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通讯作者：
M. Eizenman
中科院分区：
文献类型：
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作者：
Dmitri Model;M. Eizenman
凝视估计系统使用需要受试者积极参与的校准程序来准确地估计凝视点。在这些程序中，受试者被要求在特定的时间时刻专注于空间中的一个或多个特定点。本文描述了一种凝视估计系统，该系统不使用需要用户主动参与的校准过程。该系统使用来自一对立体摄像机的图像来估计双眼的光轴，而无需个人校准程序。为了估计沿着视轴的视点，通过一种新颖的自动过程来估计光轴和视轴之间的角度，该自动过程最小化了当受试者自然地看着显示器(例如，观看视频剪辑)时左眼和右眼的视轴与显示器表面的交点之间的距离。对四个受试者的实验表明，该系统的均方根误差为1.3°。
Gaze estimation systems use calibration procedures that require active subject participation to estimate the point-of-gaze accurately. In these procedures, subjects are required to fixate on a specific point or points in space at specific time instances. This paper describes a gaze estimation system that does not use calibration procedures that require active user participation. The system estimates the optical axes of both eyes using images from a stereo pair of video cameras without a personal calibration procedure. To estimate the point-of-gaze, which lies along the visual axis, the angles between the optical and visual axes are estimated by a novel automatic procedure that minimizes the distance between the intersections of the visual axes of the left and right eyes with the surface of a display while subjects look naturally at the display (e.g., watching a video clip). Experiments with four subjects demonstrate that the RMS error of this point-of-gaze estimation system is 1.3°.