Implicit User Calibration for Model-based Gaze-tracking System using Face Detection around Optical Axis of Eye
Implicit User Calibration for Model-based Gaze-tracking System using Face Detection around Optical Axis of Eye
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DOI：
10.1145/3290607.3312942
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Mamoru Hiroe;Shogo Mitsunaga;Takashi Nagamatsu
中科院分区：
文献类型：
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作者：
Mamoru Hiroe;Shogo Mitsunaga;Takashi Nagamatsu
在最近使用基于 3D 模型的方法的注视跟踪系统的研究中，无需用户校准即可估计眼睛的光轴。实现隐式用户校准的剩余问题是估计眼睛的光轴和视轴之间的差异（角度kappa）。在本文中，我们提出了一种使用眼睛光轴周围的人脸检测的隐式用户校准方法。我们假设面部区域图像平均值的峰值表示眼睛坐标系中眼睛的视轴。 kappa 角被估计为眼睛的光轴与面部区域图像的平均值的峰值之间的差。我们开发了一个带有两个摄像头和两个 IR-LED 的原型系统。实验结果表明，与使用Itti显着图代替人脸检测的方法相比，该方法能够更准确地估计角度kappa。
In recent studies of gaze tracking system using 3D model-based methods, the optical axis of the eye is estimated without user calibration. The remaining problem for achieving implicit user calibration is to estimate the difference between the optical axis and visual axis of the eye (angle kappa). In this paper, we propose an implicit user calibration method using face detection around the optical axis of the eye. We assume that the peak of the average of face region images indicates the visual axis of the eye in the eye coordinate system. The angle kappa is estimated as the difference between the optical axis of the eye and the peak of the average of face region images. We developed a prototype system with two cameras and two IR-LEDs. The experimental results showed that the proposed method can estimate the angle kappa more accurately than the method that uses Itti's saliency map instead of face detection.