Cho Dong-Chan, Kim Whoi-Yul
IEEE Trans Biomed Eng. 2013 Dec;60(12):3432-40. doi: 10.1109/TBME.2013.2266413. Epub 2013 Jun 6.
In the vision-based remote gaze tracking systems, the most challenging topics are to allow natural movement of a user and to increase the working volume and distance of the system. Several eye gaze estimation methods considering the natural movement of a user have been proposed. However, their working volume and distance are narrow and close. In this paper, we propose a novel 2-D mapping-based gaze estimation method that allows large-movement of user. Conventional 2-D mapping-based methods utilize mapping function between calibration points on the screen and pupil center corneal reflection (PCCR) vectors obtained in user calibration step. However, PCCR vectors and their associated mapping function are only valid at or near to the position where the user calibration is performed. The proposed movement mapping function, complementing the user's movement, estimates scale factors between two PCCR vector sets: one obtained at the user calibration position and another obtained at the new user position. The proposed system targets a longer range gaze tracking which operates from 1.4 to 3 m. A narrow-view camera mounted on a pan and tilt unit is used by the proposed system to capture high-resolution eye image, providing a wide and long working volume of about 100 cm × 40 cm × 100 cm. The experimental results show that the proposed method successfully compensated the poor performance due to user's large movement. Average angular error was 0.8° and only 0.07° of angular error was increased while the user moved around 81 cm.
在基于视觉的远程注视跟踪系统中,最具挑战性的课题是允许用户自然移动并增加系统的工作范围和距离。已经提出了几种考虑用户自然移动的注视估计方法。然而,它们的工作范围和距离较窄且较近。在本文中,我们提出了一种新颖的基于二维映射的注视估计方法,该方法允许用户进行大幅度移动。传统的基于二维映射的方法利用屏幕上校准点与在用户校准步骤中获得的瞳孔中心角膜反射(PCCR)向量之间的映射函数。然而,PCCR向量及其相关的映射函数仅在执行用户校准的位置或其附近有效。所提出的移动映射函数对用户的移动进行补充,估计两个PCCR向量集之间的比例因子:一个在用户校准位置获得,另一个在新的用户位置获得。所提出的系统目标是进行更长距离的注视跟踪,其工作范围为1.4至3米。所提出的系统使用安装在平移和倾斜单元上的窄视角相机来捕获高分辨率的眼睛图像,提供约100厘米×40厘米×100厘米的宽且长的工作范围。实验结果表明,所提出的方法成功地补偿了由于用户大幅度移动而导致的性能不佳。平均角度误差为0.8°,当用户移动约81厘米时,角度误差仅增加了0.07°。