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A New Method for Calibration of Kappa Angle in 3D Line of Sight Tracking System

机译:标定3D视线中卡伯角的新方法

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At present, the general idea of the 3D line of sight (LoS) estimation is as follows. First, the direction of the 3D line of gaze (LoG) can be reconstructed according to the visual characteristics of the eyeballs (pupil center coordinates, purkinje images coordinates, etc.). Then the transformation matrix of the direction of LoG and the direction of LoS can be calculated based on the Kappa angle between LoG and LoS. LoS can be estimated with known LoG. The transformation matrix between LoG and LoS is usually determined by the user calibration process of the gaze tracking system. Because the eyeball structure is unique and the Kappa is a space angle, the transformation matrix changes with the space location of the eyeball. This paper elaborates on the Kappa angle calibration problem in the gaze tracking system. A new calibration and calculation method of Kappa angle is proposed in this paper, which can solve the calculation of space Kappa angle in the case of head translation, pitch and rotation. Simulation and experimental results verify the effectiveness of the proposed method.
机译:当前,3D视线(LoS)估计的总体思路如下。首先,可以根据眼球的视觉特征(瞳孔中心坐标,浦肯野图像坐标等)重建3D凝视线(LoG)的方向。然后,可以基于LoG和LoS之间的卡伯角来计算LoG方向和LoS方向的变换矩阵。可以用已知的LoG估计LoS。 LoG和LoS之间的转换矩阵通常由注视跟踪系统的用户校准过程确定。因为眼球结构是唯一的,并且Kappa是一个空间角,所以变换矩阵随眼球的空间位置而变化。本文阐述了凝视跟踪系统中的卡伯角校准问题。提出了一种新的卡伯角标定和计算方法,可以解决头部平移,俯仰和旋转情况下空间卡伯角的计算。仿真和实验结果验证了该方法的有效性。

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