UM
Reconstruction-based metric learning for unconstrained face verification
Lu J.; Wang G.; Deng W.; Jia K.
2015
Source PublicationIEEE Transactions on Information Forensics and Security
ISSN15566013
Volume10Issue:1Pages:79
AbstractIn this paper, we propose a reconstruction-based metric learning method to learn a discriminative distance metric for unconstrained face verification. Unlike conventional metric learning methods, which only consider the label information of training samples and ignore the reconstruction residual information in the learning procedure, we apply a reconstruction criterion to learn a discriminative distance metric. For each training example, the distance metric is learned by enforcing a margin between the interclass sparse reconstruction residual and interclass sparse reconstruction residual, so that the reconstruction residual of training samples can be effectively exploited to compute the between-class and within-class variations. To better use multiple features for distance metric learning, we propose a reconstruction-based multimetric learning method to collaboratively learn multiple distance metrics, one for each feature descriptor, to remove uncorrelated information for recognition. We evaluate our proposed methods on the Labelled Faces in the Wild (LFW) and YouTube face data sets and our experimental results clearly show the superiority of our methods over both previous metric learning methods and several state-of-the-art unconstrained face verification methods. © 2005-2012 IEEE.
KeywordFace recognition metric learning reconstruction-based learning unconstrained face verification
DOI10.1109/TIFS.2014.2363792
URLView the original
Language英语
The Source to ArticleScopus
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Cited Times [WOS]:46   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
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GB/T 7714
Lu J.,Wang G.,Deng W.,et al. Reconstruction-based metric learning for unconstrained face verification[J]. IEEE Transactions on Information Forensics and Security,2015,10(1):79.
APA Lu J.,Wang G.,Deng W.,&Jia K..(2015).Reconstruction-based metric learning for unconstrained face verification.IEEE Transactions on Information Forensics and Security,10(1),79.
MLA Lu J.,et al."Reconstruction-based metric learning for unconstrained face verification".IEEE Transactions on Information Forensics and Security 10.1(2015):79.
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