Illumination compensation method using edge-weakening guided image filter for face recognition

被引：3
|
作者：
Chen, Chao [1 ]
Shen, Haibin [1 ]
机构：
[1] Zhejiang Univ, Hangzhou 310003, Zhejiang, Peoples R China
来源：
ELECTRONICS LETTERS | 2015年 / 51卷 / 19期
关键词：
D O I：
10.1049/el.2015.1667
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In face recognition, the self-quotient image (SQI) is a widely used preprocessing step to compensate for illumination. To improve SQI performance, a specially designed edge-weakening guided image filter (EWGIF) is proposed. An edge aware coefficient in the EWGIF makes it aware of edges and able to change the smoothing level automatically according to the image contents. Through the improved SQI, most of the face informatic areas are well preserved, while inconsequential parts are dropped. Experimental results on the extended Yale B and the Gray FERET databases show that face recognition accuracy is significantly improved with the EWGIF.
引用
收藏
页码：1495 / 1496
页数：2
相关论文
共 50 条
  • [31] Face Illumination Compensation Using Multiwavelets Transform
    Nie, Xiangfei
    Tan, Zefu
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 1853 - 1856
  • [32] Optimizing Fuzzy Rule Base for Illumination Compensation in Face Recognition using Genetic Algorithms
    Dewantara, Bima Sena Bayu
    Miura, Jun
    [J]. EMITTER-INTERNATIONAL JOURNAL OF ENGINEERING TECHNOLOGY, 2014, 2 (02) : 62 - 79
  • [33] Pose and illumination compensation for 3D face recognition
    Malassiotis, S
    Strintzis, MG
    [J]. ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5, 2004, : 91 - 94
  • [34] Face identity recognition based on improved Retinex and illumination compensation
    Yi, Jizheng
    Yang, Jieqiong
    Wu, Xingyu
    Zhao, Liming
    [J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 48 (01): : 41 - 47
  • [35] Genetic optimisation of illumination compensation methods in cascade for face recognition
    Perez, C. A.
    Castillo, L. E.
    Cament, L. A.
    Estevez, P. A.
    Held, C. M.
    [J]. ELECTRONICS LETTERS, 2010, 46 (07) : 498 - 499
  • [36] Face recognition with illumination, pose and expression variations using SIFT method
    Ge, Wei
    Cai, Lijuan
    Zhan, Weida
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015), 2015, 126 : 688 - 691
  • [37] A novel illumination normalization method for face recognition
    Guo, YC
    Zhang, XM
    Zhan, HY
    Song, J
    [J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2005, 3781 : 23 - 30
  • [38] Virtual face image generation for illumination and pose insensitive face recognition
    Gao, W
    Shan, SG
    Chai, XJ
    Fu, XW
    [J]. 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL III, PROCEEDINGS, 2003, : 149 - 152
  • [39] Virtual face image generation for illumination and pose insensitive face recognition
    Gao, W
    Shan, SG
    Chai, XJ
    Fu, XW
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PROCEEDINGS: SIGNAL PROCESSING FOR COMMUNICATIONS SPECIAL SESSIONS, 2003, : 776 - 779
  • [40] A Face Recognition Method Robust to Partial Illumination
    Tetik, Yusuf Engin
    Ay, Sinan
    Alver, Seyfullah
    [J]. 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 686 - 689
12345