Traditional 3D gaze estimation methods are usually based on the models of pupil refraction and corneal reflection. These methods typically rely on multiple light sources. The 3D gaze can be estimated using single-camera-single-light-source systems only when certain user-dependent eye parameters are available a priori , which is rarely the case. This article proposes a 3D gaze estimation method which works based on iris features using a single camera and a single light source. User-dependent eye parameters involving the iris radius and the cornea radius are user-calibrated. The 3D line-of-sight is estimated from the optical axis and the positional relationship between the optical axis and the visual axis, and then optimized using a binocular stereo vision model. The feasibility and robustness of the proposed method are assessed by simulations and practical experiments. The system configuration required by the method is simpler than that required by the state-of-the-art methods, which shows significant potential value, especially with regard to mobile device applications.

中文翻译：

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使用单个摄像头和单个光源通过虹膜功能进行基于3D模型的注视跟踪

传统的3D凝视估计方法通常基于瞳孔折射和角膜反射的模型。这些方法通常依赖于多个光源。仅当某些依赖于用户的眼睛参数可用时，才可以使用单相机单光源系统估算3D凝视先验 ，这种情况很少发生。本文提出了一种3D凝视估计方法，该方法基于使用单个摄像机和单个光源的虹膜特征进行工作。用户校准的涉及虹膜半径和角膜半径的眼睛参数是用户校准的。根据光轴以及光轴和视轴之间的位置关系估算3D视线，然后使用双目立体视觉模型对其进行优化。通过仿真和实际实验评估了该方法的可行性和鲁棒性。该方法所需的系统配置比最新方法所需的系统配置更简单，后者显示出巨大的潜在价值，尤其是在移动设备应用程序方面。