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
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