A Gaze Estimation Method Based on Normalized Eye Image

REN Dong-chun; ZHANG Peng; WANG Min; GU Nan-nan

doi:10.3969/j.issn.0372-2112.2015.03.019

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A Gaze Estimation Method Based on Normalized Eye Image

更新时间：2025-07-16

- A Gaze Estimation Method Based on Normalized Eye Image
- Acta Electronica Sinica Vol. 43, Issue 3, Pages: 536-543(2015)
- 作者机构：
  
  1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京,100190
  2. 民政部国家减灾中心,北京,100124
  3. 首都经济贸易大学统计学院,北京,100070
  4. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京,100190
  5. 民政部国家减灾中心,北京,100124
  6. 首都经济贸易大学统计学院,北京,100070
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2015.03.019
  CLC： TP391.41
- Published：2015
- 稿件说明：
移动端阅览
REN Dong-chun, ZHANG Peng, WANG Min, et al. A Gaze Estimation Method Based on Normalized Eye Image[J]. Acta Electronica Sinica, 2015, 43(3): 536-543.
DOI：

REN Dong-chun, ZHANG Peng, WANG Min, et al. A Gaze Estimation Method Based on Normalized Eye Image[J]. Acta Electronica Sinica, 2015, 43(3): 536-543. DOI： 10.3969/j.issn.0372-2112.2015.03.019.

摘要

本文提出了一种基于标准化人眼图像的视线估计算法

能有效解决头部运动对视线估计的影响.本算法在一个红外摄像机和三个红外光源的条件下

利用三个光斑(光源在角膜表面的反射点)的图像信息

将人眼图像变换到标准化人眼图像.通过引入标准化人眼图像

使屏幕平面到标准化人眼图像平面的射影变换为定值

从而使标准化人眼图像的瞳孔中心和屏幕上的视点的变换关系为定值

由此解决了头部运动对视线估计的影响.实验结果验证了该算法在头部运动情况下的有效性.

Abstract

In order to improve the effects of head movements on gaze estimation

this paper proposes a gaze estimation method based on normalized eye image.The proposed method is built on the installation of one infrared camera and three infrared light sources.We utilize the image of three light spots

which are the reflections of lights on cornea surface

to transform original eye image into the normalized one.By introducing normalized eye image

the projective transformation from screen plane to normalized eye image plane is constant.Consequently

the transformation from the pupil center in a normalized eye image to the viewpoint on the screen is fixed.Therefore

the effects caused by head movements can be eliminated.Experimental results demonstrated the effectiveness of the proposed method under various conditions of head movements.

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School of Information Engineering,University of Science and Technology Beijing

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