摘要

针对目前人眼视线跟踪的人机交互技术尚不成熟的现状, 提出了一种基于立体视觉的瞳孔空间形态的桌面式双目视线跟踪方法。根据低灰度值分布初步定位瞳孔中心; 利用瞳孔区域径向导数极坐标图提取瞳孔边缘点坐标, 并使用随机样本一致性(RANSAC)对瞳孔边缘进行椭圆拟合; 采用定向二进制简单描述符(Oriented brief,ORB)算法配准双目瞳孔边缘点坐标; 通过双目立体视觉模型计算得到瞳孔边缘空间点坐标, 最后采用最小二乘法计算瞳孔空间形态并解算出视线方向。实验结果表明, 瞳孔中心定位速度达300 frame/s, 双眼视线跟踪速度达15 frame/s,视线跟踪最大误差为2.6°。本方法具有较好的准确性、稳健性、实时性, 可应用于人眼视线跟踪的人机交互领域中。

Abstract

Aiming at the status of immaturity for the human-machine interaction technique of eye gaze tracking, a tabletop two-eye gaze tracking method is proposed based on pupil shape in space of stereo vision. With the low grey value distribution, the pupil center is located preliminarily. The radial derivative polar diagram in pupil area is used to extract the pupil edge point coordinates, and the random sample consensus (RANSAC) is used to fit the pupil edge with a suitable ellipse. The two-eye pupil edge point coordinates are matched using the ORB (Oriented brief) algorithm and the pupil edge point coordinates are obtained based on the two-eye stereo vision model. The least square method is finally adopted to calculate the pupil shape in space and the gaze direction is presented. The experimental results show that the positioning speed of pupil center is 300 frame/s, the two-eye gaze tracking speed is 15 frame/s, and the maximum gaze tracking error is 2.6°. It is verified that the proposed method has good accuracy, robustness and real-time performance, and it can be used in the field of human-machine interaction.

补充资料

中图分类号：TP391.4

DOI：10.3788/LOP56.023301

所属栏目：视觉，颜色与视觉光学

基金项目：国家自然科学基金(51575388)

收稿日期：2018-06-29

修改稿日期：2018-08-03

网络出版日期：2018-08-08

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联系人作者：白皓月(shun344@qq.com)

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引用该论文

Wang Xiangjun,Bai Haoyue,Ni Yubo. Two-Eye Gaze Tracking Based on Pupil Shape in Space[J]. Laser & Optoelectronics Progress, 2019, 56(2): 023301

王向军,白皓月,倪育博. 基于瞳孔空间形态的双眼视线跟踪方法[J]. 激光与光电子学进展, 2019, 56(2): 023301