凝视方向估计仅使用深度相机

Jie-Shiou Tsai, C. Lin
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引用次数: 2

摘要

提出了一种利用消费者级深度传感器(RealSense)从人眼运动中进行凝视方向估计的新方法。该方法包括四个阶段:(1)通过模板匹配下巴轮廓和人脸几何特征来定位眼睛区域;(2)定位眼睛中心点作为参考点;(3)利用二阶拉普拉斯检测器加强深度数据强度来定位瞳孔;(4)利用欧几里得距离和视角进行凝视方向分类。通过实验对低照度环境和不同测试距离下注视方向的性能进行了估计。最后,实验结果证明了该系统仅使用距离信息进行注视方向估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gaze direction estimation using only a depth camera
This paper proposed a novel method to perform gaze direction estimation from human eye movement with only a consumer level depth sensor (RealSense). Proposed method consists of four stages: (i) eye region localization from a template matching of the contour of the chin and geometric properties of human faces, (ii) locating the eye center points as the reference points, (iii) using second order Laplacian detector to strengthen the intensity of depth data to locate the pupil and (iv) gaze direction classification using the Euclidean distance and visual angle. Experiments are performed to estimate the performance of the gaze directions on low illumination environments and different testing distances between the camera and users. Finally, the experimental results demonstrate the proposed system using solely the distance information for gaze direction estimation.
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