首页> 外文期刊>IEEE Transactions on Biomedical Engineering >Head-Free, Remote Eye-Gaze Detection System Based on Pupil-Corneal Reflection Method With Easy Calibration Using Two Stereo-Calibrated Video Cameras
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Head-Free, Remote Eye-Gaze Detection System Based on Pupil-Corneal Reflection Method With Easy Calibration Using Two Stereo-Calibrated Video Cameras

机译:基于瞳孔角反射法的无头远程视线检测系统,使用两个立体声校准摄像机轻松校准

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We have developed a pupil-corneal reflection method-based gaze detection system, which allows large head movements and achieves easy gaze calibration. This system contains two optical systems consisting of components such as a camera and a near-infrared light source attached to the camera. The light source has two concentric LED rings with different wavelengths. The inner and outer rings generate bright and dark pupil images, respectively. The pupils are detected from a difference image created by subtracting the bright and dark pupil images. The light source also generates the corneal reflection. The 3-D coordinates of the pupils are determined by the stereo matching method using two optical systems. The vector from the corneal reflection center to the pupil center in the camera image is determined as ${bm r}$. The angle between the line of sight and the line passing through the pupil center and the camera (light source) is denoted as $theta$. The relationship $theta = k leftvert {bm r} rightvert$ is assumed, where $k$ is a constant. The theory implies that head movement of the user is allowed and facilitates the gaze calibration procedure. In the automatic calibration method, $k$ is automatically determined while the user looks around on the PC screen without fixating on any specific calibration target. In the one-point calibration method, the user is asked to fixate on one calibration target at the PC screen in order to correct the difference between the optical and visual axes. In the two-point calibration method, in order to correct the nonlinear relationship between $theta$ and $leftvert {bm r} rightvert$, the user is asked to fixate on two targets. The experimental results show that the three proposed calibration methods improve the precision of gaze detection step by step. In addition, the average gaze error in the visual angle is less than 1$^circ$ for the seven head positions of the user.
机译:我们开发了一种基于瞳孔角膜反射法的凝视检测系统,该系统可进行较大的头部移动,并易于进行凝视校准。该系统包含两个光学系统,这些光学系统由相机等组件和连接到相机的近红外光源组成。光源具有两个不同波长的同心LED环。内环和外环分别生成亮瞳图像和暗瞳图像。从通过减去亮瞳孔图像和暗瞳孔图像而产生的差异图像中检测出瞳孔。光源还产生角膜反射。通过使用两个光学系统的立体匹配方法确定瞳孔的3-D坐标。将相机图像中从角膜反射中心到瞳孔中心的向量确定为 $ {bm r} $ 。视线与穿过瞳孔中心和相机(光源)的线之间的角度表示为 $ theta $ 。假定关系 $ theta = k leftvert {bm r} rightvert $ ,其中 < tex Notation =“ TeX”> $ k $ 是一个常数。该理论意味着允许用户的头部移动,并有助于凝视校准程序。在自动校准方法中,当用户在PC屏幕上环顾四周时,会自动确定 $ k $ 校准目标。在单点校准方法中,要求用户将其固定在PC屏幕上的一个校准目标上,以校正光轴和视轴之间的差异。在两点校准方法中,为了校正 $ theta $ $ leftvert {bm r} rightvert $ ,要求用户将注意力集中在两个目标上。实验结果表明,所提出的三种校准方法逐步提高了凝视检测的精度。此外,对于七个头部位置,视角的平均凝视误差小于1 $ ^ circ $ 用户。

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