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首页> 外文期刊>IEEE sensors journal >A Calibration Method for Eye-Gaze Estimation Systems Based on 3D Geometrical Optics
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A Calibration Method for Eye-Gaze Estimation Systems Based on 3D Geometrical Optics

机译：基于3D几何光学的视线估计系统的标定方法。

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摘要

A new calibration method is presented for robust eye-gaze estimation systems which are utilized to understand the human mind. Although current eye-gaze systems with one camera and a few infrared light sources have been developed to allow users' head motion, they still require one to know the relative positions between the camera and light sources with very high accuracy. The developed calibration method utilizes a three-dimensional geometrical relationship between the light source positions and corresponding camera images reflected on a mirror at several positions and rotations. The best estimates of the light source positions are obtained from noisy measurements by minimizing a cost function, which ensures the integrity of the camera and light sources. The developed calibration method makes it possible to convert many camera-and-display devices into robust eye-gaze estimation systems.
机译：提出了一种新的校准方法，用于强大的注视估计系统，该系统可用于理解人的思想。尽管目前已经开发了具有一台摄像机和几个红外光源的视线系统，以允许用户进行头部运动，但是他们仍然需要一个人才能非常准确地知道摄像机与光源之间的相对位置。所开发的校准方法利用光源位置与反射镜在几个位置和旋转位置处反射的对应摄像机图像之间的三维几何关系。光源位置的最佳估计值是通过使成本函数最小化而从噪声测量中获得的，从而确保了摄像机和光源的完整性。先进的校准方法可以将许多相机和显示设备转换为强大的视线估计系统。

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