An algorithm of eyes localization in infrared image

CHEN Yu-bo1; CHEN Xin-lin2; CHEN Shou-ming3

doi:10.13873/j.1000-97872010.04.020

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An algorithm of eyes localization in infrared image

更新时间：2025-09-11

- An algorithm of eyes localization in infrared image
- Vol. 29, Issue 4, Pages: 62-66(2010)
- 作者机构：
  
  1. 中南大学信息物理工程学院
  2. 河南农业职业学院电子信息工程系
  3. 中南大学信息科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.04.020
  CLC： TP391.41
- Published：2010
- 稿件说明：
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[1]陈宇波,陈新林,陈守明.一种在红外图像中定位人眼的方法[J].传感器与微系统,2010,29(04):62-66.

CHEN Yu-bo1, CHEN Xin-lin2, CHEN Shou-ming3. An algorithm of eyes localization in infrared image[J]. 2010, 29(4): 62-66.
[1]陈宇波,陈新林,陈守明.一种在红外图像中定位人眼的方法[J].传感器与微系统,2010,29(04):62-66. DOI： 10.13873/j.1000-97872010.04.020.

CHEN Yu-bo1, CHEN Xin-lin2, CHEN Shou-ming3. An algorithm of eyes localization in infrared image[J]. 2010, 29(4): 62-66. DOI： 10.13873/j.1000-97872010.04.020.

摘要

提出了一种新型快速的在红外图像中进行眼睛定位的方法。该方法由两部分组成:首先

通过同态滤波增强图像的对比度

使用改进的迭代阈值算法和积分投影函数获取人脸

根据人眼和人脸的几何特征

获取大致的人眼区域;其次

通过自适应中值滤波算法和迭代阈值法获取最小人眼块

利用最小人眼块的质心和积分投影最终准确定位眼睛。实验表明:所提出的算法是快速和可靠的。

Abstract

A novel and quick method for eyes location in an infrared image is proposed.This method consists of two steps.Firstly

homomorphic filter is used to enhance the contrast of image.The human face is obtained through improved iterative threshold algorithm and integral projection function.According to the eyes and face geometry characteristics

the eyes region is obtained roughly.Secondly

the smallest eyes-block is obtained by ranked-order adaptive median filtering（RAMF） method and iterative threshold algorithm.Finally

the eyes position is obtained accurately according to the centroid of the smallest eyes-block and integral projection function.Experimental results show that the proposed method is fast and reliable.

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references

图像中人眼检测技术综述 [J]. 唐琎,许海柱,王力. 计算机应用研究 . 2008(04)

原点无关最近特征分类器及在人脸识别的应用 [J]. 谷秧波,武妍,王守觉,朱君波. 同济大学学报(自然科学版) . 2006(10)

基于肤色和几何特性的人脸特征区域定位方法 [J]. 陈雅茜,王玲. 计算机工程 . 2006(03)

基于Hough变换圆检测的人眼精确定位方法 [J]. 张杰,杨晓飞,赵瑞莲. 计算机工程与应用 . 2005(27)

Variance projection function and its application to eye detection for human face recognition [J] . G.C. Feng,P.C. Yuen. Pattern Recognition Letters . 1998 (9)

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