留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于双眼模型的三维视线估计方法

满毅 赵歆波 张珂

满毅, 赵歆波, 张珂. 基于双眼模型的三维视线估计方法[J]. 机械科学与技术, 2015, 34(4): 586-589. doi: 10.13433/j.cnki.1003-8728.2015.0419
引用本文: 满毅, 赵歆波, 张珂. 基于双眼模型的三维视线估计方法[J]. 机械科学与技术, 2015, 34(4): 586-589. doi: 10.13433/j.cnki.1003-8728.2015.0419
Man Yi, Zhao Xinbo, Zhang Ke. 3D Gaze Estimation Method Based on Binocular Model[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(4): 586-589. doi: 10.13433/j.cnki.1003-8728.2015.0419
Citation: Man Yi, Zhao Xinbo, Zhang Ke. 3D Gaze Estimation Method Based on Binocular Model[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(4): 586-589. doi: 10.13433/j.cnki.1003-8728.2015.0419

基于双眼模型的三维视线估计方法

doi: 10.13433/j.cnki.1003-8728.2015.0419
基金项目: 

国家自然科学基金项目(61201319)、西北工业大学基础研究基金项目(JC20120205)及西北工业大学研究生创业种子基金项目(Z2011132)资助。

详细信息
    作者简介:

    满毅(1986-),硕士研究生,研究方向为数字图像处理,视线跟踪,manyi_nwpu@126.com

    通讯作者:

    赵歆波,教授,博士生导师,xbozhao@nwpu.edu.cn

3D Gaze Estimation Method Based on Binocular Model

  • 摘要: 提出一种基于双眼模型的三维视线估计方法,以期克服二维视线跟踪方法固有的两个缺点,即对于使用者头部运动限制以及个体参数标定过程繁琐。该方法首先利用两个安装有红外灯组的摄像机组成立体视觉系统,实现人脸双眼图像的采集,之后,基于眼睛角膜球状假设,建立了一个适用于三维视线估计的三维眼模型,在此基础上,推导出人眼三维光轴的估计方法。用左右眼光轴与屏幕交点连线的中点估计方法,计算出注视点。该方法可在使用者头部运动的情况下,完成视线估计,且只需进行一次系统校准即可使用,无需其它标定过程,视线估计精度较高。
  • [1] Duchowski A T. Eye tracking methodology: theory and practice[M]. London:Springer-Verlag,2003
    [2] Shao G J, Che M, Zhang B Y, et al. A novel simple 2D model of eye gaze estimation[C]//Intelligent Human-Machine Systems and Cybernetics,2010:300-304
    [3] 周园,赵歆波,张昀.针对真实场景的实时视线跟踪系统设计[J].机械科学与技术,2010,29(2) Zhou Y, Zhao X B, Zhang Y. Design of real-time eye-gaze tracking system for actual scenario[J]. Mechanical Science and Technology for Aerospace Engineering,2010,29(2) (in Chinese)
    [4] Shih S W, Liu J. A novel approach to 3-D gaze tracking using stereo cameras[C]//IEEE Transactions on Systems, Man, and Cybernetics,2004,B:234-245
    [5] Shih S W, Wu Y T, Liu J. A calibration-free gaze tracking technique[C]//Proceedings of International Conference on Pattern Recognition,2000,4:201-204
    [6] Kohlbecher S, Bardinst S, Bartl K, et al. Calibrationfree eye tracking by reconstruction of the pupil ellipse in 3D space[C]// Proceedings of the 2008 Symposium on Eye Tracking Research & Applications,2008:135-138
    [7] Yamazoe H, Utsumi A, Yonezawa T, et al. Remote gaze estimation with a single camera based on facial feature tracking without special calibration actions[C]//Proceedings of the 2008 Symposium on Eye Tracking Research & Applications,2008:245-250
    [8] Sugano Y, Matsushita Y, Sato Y. Calibration-free gaze sensing using saliency maps[C]//IEEE Conference on Computer Vision and Pattern Recognition,2010,2667-2674
    [9] Noris B, Keller J B, Billard A G. Gaze direction detection for lay users in unconstrained environments[J]. Computer Vision and Image Understanding,2011,115:476-486
    [10] Noris B K, Benmachiche A G. Billard calibration-free eye gaze direction detection with gaussian processes[C]//Proceedings of the International Conference on Computer Vision Theory and Applications,2008
    [11] Gielen C, Dijkstra T, Roozen I J, et al. Coordination of gaze and hand movements for tracking and tracing in 3D[J]. Cortex,2009,45:340-355
    [12] Chen J, Tong Y, Gray W, et al. A robust 3D eye gaze tracking system using noise reduction[C]//Proc. of Eye Tracking Research & Applications Symp,2008:189-196
    [13] Pogalin E, Redertl A, Patras I, et al. Gaze tracking by using factorized likelihoods particle filtering and stereo vision[C]//3D Data Processing, Visualization and Transmission,2006:57-64
    [14] Osaka R. Experimental psychology of eye movements (in Japanese)[M]. The University of Nagoya Press, 1993
  • 加载中
计量
  • 文章访问数:  148
  • HTML全文浏览量:  37
  • PDF下载量:  7
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-02-14
  • 刊出日期:  2015-04-05

目录

    /

    返回文章
    返回