[1]倪剑帆,汪建明,周小芹,等. 基于深度相机的水平视角估计及校准方法[J].计算机技术与发展,2017,27(01):39-43.
　NI Jian-fan,WANG Jian-ming,ZHOU Xiao-qin,et al. An Approach of Horizontal Gaze Angle Estimation and Calibration Using Depth Camera[J].,2017,27(01):39-43.
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 基于深度相机的水平视角估计及校准方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年01期
页码:
39-43
栏目:
智能、算法、系统工程
出版日期:
2017-01-10

文章信息/Info

Title:
 An Approach of Horizontal Gaze Angle Estimation and Calibration Using Depth Camera
文章编号:
1673-629X（2017)01-0039-05
作者:
 倪剑帆; 汪建明; 周小芹; 刘小峰
 河海大学 物联网工程学院 常州市特种机器人与智能技术重点实验室
Author(s):
 NI Jian-fan; WANG Jian-ming; ZHOU Xiao-qin; LIU Xiao-feng
关键词:
 ; 校准方法; 水平视线角度估计; Kinect深度相机; 线性回归模型; 拟合函数
Keywords:
 ; calibration approach; horizontal gaze angle estimation; the Kinect depth camera; linear regression model; fitting function
分类号:
TP391.4
文献标志码:
A
摘要:
 提出一种基于Kinect深度相机水平视角估计及校准方法。用Kinect捕捉人的脸部和估计头部姿势，采用基于图像梯度信息的方法从2维脸部图像定位瞳孔中心点，利用Kinect固有参数，得到三维坐标系中的瞳孔中心点。结合预设眼球中心点，可以很方便、稳定地估算出水平视角。该方法采用预定义的眼球中心点经验值，无需单独校准每个人的眼球中心点，提高了该视线检测系统的普遍适用性。为了提高视线角度的精确性，设计了一套能够呈现注视目标并可采集注视角度的实验系统。应用该实验系统采集数名实验者视角估计值和真实数据，然后建立线性回归模型。通过拟合函数校准估计的视角，进一步提高了视角精度。实验结果表明，对于不同的人，该方法都能快速而准确地估计出视角。
Abstract:
 An approach to estimate and calibrate the horizontal gaze angle using the Kinect depth camera is proposed. Fisrt of all,the Ki-nect is used to capture the face image and estimate the head pose,localizing the 2D pupil center by means of image gradient. Then the 3D pupil center is obtained by the intrinsic parameters of the Kinect. With the pupil center and an empirical eyeball center value,the horizon-tal gaze angle can be estimated conveniently. Unlike the previous methods which need to calibrate the eyeball center for every person,the method is based on the predefined empirical eyeball center,which the gaze estimation system is robust and convenient. In order to improve the accuracy of the gaze angle,an experimental system is built which can collect the gaze angle and display the gaze target. The several participants’ data of measurement data and the ground truth are collected. A linear regression model is built from the errors between the ground truth and the measured data,and used to correct the accuracy of the estimated gaze direction. The experiment shows that the ap-proach can fast and accurately estimate the gaze angle.

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更新日期/Last Update: 2017-04-01