[1]李思璇,孙 兵.人脸对齐处理对面部色泽变化的影响[J].医学信息,2019,32(19):4-7.[doi:10.3969/j.issn.1006-1959.2019.19.002]
　LI Si-xuan,SUN Bing.Analyzing the Influence of Face Alignment Processing on Facial Color Change[J].Journal of Medical Information,2019,32(19):4-7.[doi:10.3969/j.issn.1006-1959.2019.19.002]
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人脸对齐处理对面部色泽变化的影响()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
32卷
期数:
2019年19期
页码:
4-7
栏目:
出版日期:
2019-10-01

文章信息/Info

Title:
Analyzing the Influence of Face Alignment Processing on Facial Color Change
文章编号:
1006-1959（2019）19-0004-04
作者:
李思璇1; 孙 兵2
（北京航空航天大学生物与医学工程学院1，电子信息工程学院2，北京 100191）
Author(s):
LI Si-xuan1; SUN Bing2
(College of Biological and Medical Engineering1,College of Electronic and Information Engineering2,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)
关键词:
人脸对齐; 面部色泽变化; 健康警示; 相关函数
Keywords:
Face alignment; Facial color change; Health warning; Correlation function
分类号:
TP391
DOI:
10.3969/j.issn.1006-1959.2019.19.002
文献标志码:
B
摘要:
对人脸识别考勤系统所获取的图像序列进行色泽变化分析，可有效获取员工的健康信息。本文利用基于Haar-like特征的人脸识别算法自动确定左眼、右眼、鼻子和嘴巴特征点位置，分别采用左右眼两点对齐法、左右眼+鼻子三点对齐法、左右眼+嘴巴三点对齐法，对图像序列进行配准处理以得到标准化图像序列，对标准化图像序列的各色彩分量进行相关函数分析，研究人脸图像序列对齐处理方法对面部色泽变化的影响。探讨能够有效减小图像序列对齐处理引起的面部色泽变化的方法，更好地保留员工自身健康变化引起的面部色泽变化，提供更为准确的健康警示信息。
Abstract:
The color image change analysis of the image sequence obtained by the face recognition attendance system can effectively obtain the employee's health information. In this paper, the face recognition algorithm based on Haar-like feature is used to automatically determine the position of the left eye, right eye, nose and mouth feature points, respectively, using the left and right eye two-point alignment method, left and right eye + nose three-point alignment method, left and right eyes + mouth three point alignment method is used to register the image sequence to obtain a standardized image sequence, and the correlation function analysis is performed on each color component of the normalized image sequence, and the face image sequence alignment processing method affects the color change of the face. To explore ways to effectively reduce facial color changes caused by image sequence alignment processing, to better preserve facial color changes caused by employees' own health changes, and to provide more accurate health warning information.

参考文献/References:

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更新日期/Last Update: 2019-10-01