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A novel illumination-robust local descriptor based on sparse linear regression
Yang Z.1,2; Wu Y.1,2; Zhao W.1,2; Zhou Y.3; Lu Z.1,2; Li W.1,2; Liao Q.1,2
2016
Source PublicationDigital Signal Processing: A Review Journal
ISSN10512004
Volume48Pages:269-275
Abstract

Robust face recognition under uncontrolled illumination conditions is an important problem for real face recognition systems. In this paper, we introduce a novel illumination-robust local descriptor named Sparse Linear Regression Binary (SLRB) descriptor. The SLRB descriptor is a bit string by binarizing the sparse linear regression coefficients in a local block. It is an illumination-insensitive descriptor based on the locally linear consistency assumption under the Lambertian reflectance model. We use the cosine similarity and Hamming similarity as the similarity measure for the SLRB descriptor of two different images respectively. Experimental results on the Extended Yale-B and CMU-PIE face database show a promising performance compared to the existing representative approaches.

KeywordFace Recognition Illumination-insensitive Representation Local Descriptor Sparse Linear Regression
DOI10.1016/j.dsp.2015.09.010
URLView the original
Indexed BySCI
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000365831500024
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China
2.Shenzhen Key Laboratory of Information Science and Technology, Guangdong, China
3.Department of Computer and Information Science, University of Macau, Macau, China
Recommended Citation
GB/T 7714
Yang Z.,Wu Y.,Zhao W.,et al. A novel illumination-robust local descriptor based on sparse linear regression[J]. Digital Signal Processing: A Review Journal,2016,48:269-275.
APA Yang Z..,Wu Y..,Zhao W..,Zhou Y..,Lu Z..,...&Liao Q..(2016).A novel illumination-robust local descriptor based on sparse linear regression.Digital Signal Processing: A Review Journal,48,269-275.
MLA Yang Z.,et al."A novel illumination-robust local descriptor based on sparse linear regression".Digital Signal Processing: A Review Journal 48(2016):269-275.
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