A Novel Illumination Estimation for Face Recognition under Complex Illumination Conditions

被引：4
|
作者：
Cheng, Yong [1 ,2 ,3 ]
Li, Zuoyong [3 ]
Han, Yuanchen [1 ]
机构：
[1] Nanjing Inst Technol, Sch Commun Engn, 1 Hongjing Ave, Nanjing, Jiangsu, Peoples R China
[2] Southeast Univ, Sch Automat, 2 Sipailou, Nanjing, Jiangsu, Peoples R China
[3] Minjiang Univ, Fujian Prov Key Lab Informat Proc & Intelligent C, 200 Xiyuangong Rd, Fuzhou, Peoples R China
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2017年 / E100D卷 / 04期
关键词：
illumination estimation; illumination invariants; face recognition; MODELS;
D O I：
10.1587/transinf.2016EDL8218
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
After exploring the classic Lambertian reflectance model, we proposed an effective illumination estimation model to extract illumination invariants for face recognition under complex illumination conditions in this paper. The estimated illumination by our method not only meets the actual lighting conditions of facial images, but also conforms to the imaging principle. Experimental results on the combined Yale B database show that the proposed method can extract more robust illumination invariants, which improves face recognition rate.
引用
收藏
页码：923 / 926
页数：4
相关论文
共 50 条
  • [1] Improvement of illumination-insensitive features for face recognition under complex illumination conditions
    Zhuang, Liyun
    Guan, Yepeng
    [J]. JOURNAL OF ENGINEERING-JOE, 2018, 2018 (12): : 1947 - 1953
  • [2] A Novel Approach for Face Recognition under Varying Illumination Conditions
    Mohanraj, V.
    Vaidehi, V.
    Vasuhi, S.
    Kumar, Ranajit
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION TECHNOLOGIES, 2018, 14 (02) : 22 - 42
  • [3] Research on Face Recognition under Complex Illumination Conditions for Express Cabinet Applications
    Dang, Yuanming
    Qi, Juntong
    Wang, Mingming
    [J]. PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 6397 - 6402
  • [4] Improvement of Face Recognition with Gabor, PCA, and SVM Under Complex Illumination Conditions
    Zhuang, Liyun
    Guan, Yepeng
    [J]. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2019, 23 (03) : 465 - 473
  • [5] Robust face recognition under various illumination conditions
    Matsumoto, Atsushi
    Shirai, Yoshiaki
    Shimada, Nobutaka
    Sakiyama, Takuro
    Miura, Jun
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2006, E89D (07): : 2157 - 2163
  • [6] Face recognition under varying illumination
    Su, Hongtao
    Zhang, Yanning
    Wang, Jing
    Zhao, Rongchun
    [J]. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2004, 22 (04): : 426 - 430
  • [7] Face recognition under varying illumination
    Liu, Zhonghua
    Zhao, Haixia
    Pu, Jiexin
    Wang, Hui
    [J]. NEURAL COMPUTING & APPLICATIONS, 2013, 23 (01): : 133 - 139
  • [8] Face Recognition under Varying Illumination
    Vucini, Erald
    Gokmen, Muhittin
    Groeller, Eduard
    [J]. WSCG 2007, FULL PAPERS PROCEEDINGS I AND II, 2007, : 57 - +
  • [9] Face recognition under varying illumination
    Zhonghua Liu
    Haixia Zhao
    Jiexin Pu
    Hui Wang
    [J]. Neural Computing and Applications, 2013, 23 : 133 - 139
  • [10] A Traffic Sign Recognition Method Under Complex Illumination Conditions
    Yan, Yi
    Deng, Chao
    Ma, Junjie
    Wang, Youfu
    Li, Yanqi
    [J]. IEEE ACCESS, 2023, 11 : 39185 - 39196
12345