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Generalized Weber-face for illumination-robust face recognition
Wu Y.1,2; Jiang Y.1,2; Zhou Y.3; Li W.1,2; Lu Z.1,2; Liao Q.1,2
Source PublicationNeurocomputing

Robust face recognition under uncontrolled illumination conditions is one of the key challenges for real-time face recognition systems. Weber-face (WF) is an illumination insensitive face representation based on Weber' law. In this letter, we develop a generalized Weber-face (GWF) which extracts the statistics of multi-scale information from face images. By assigning different weights to the inner-ground and outer-ground we further develop a weighted GWF (wGWF) version. Based on our experiments on the extended Yale-B and FERET face database we show that the proposed methods are robust to illumination variations and can obtain promising performance comparable with existing approaches. © 2014 Elsevier B.V.

KeywordFace Recognition Illumination Insensitive Representation Multi-scale Information Weber-face
URLView the original
Indexed BySCI
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000335708800026
The Source to ArticleScopus
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Cited Times [WOS]:45   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorZhou Y.
Affiliation1.Tsinghua Univ, Grad Sch Shenzhen, Dept Elect Engn, Beijing, Peoples R China
2.Shenzhen Key Lab Informat Sci & Technol, Guangzhou, Guangdong, Peoples R China
3.Univ Macau, Dept Comp & Informat Sci, Macau, Peoples R China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wu Y.,Jiang Y.,Zhou Y.,et al. Generalized Weber-face for illumination-robust face recognition[J]. Neurocomputing,2014,136:262.
APA Wu Y.,Jiang Y.,Zhou Y.,Li W.,Lu Z.,&Liao Q..(2014).Generalized Weber-face for illumination-robust face recognition.Neurocomputing,136,262.
MLA Wu Y.,et al."Generalized Weber-face for illumination-robust face recognition".Neurocomputing 136(2014):262.
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