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Robust face recognition under varying illumination and occlusion considering structured sparsity
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Wei, Xingjie, Li, Chang-Tsun and Hu, Yongjian (2012) Robust face recognition under varying illumination and occlusion considering structured sparsity. In: 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), Fremantle, Western Austraila, 3-5 Dec 2012. Published in: 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA) pp. 1-7. ISBN 9781467321808. doi:10.1109/DICTA.2012.6411704
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Official URL: http://dx.doi.org/10.1109/DICTA.2012.6411704
Abstract
A large amount of work has been done over the past decades in face recognition (FR). Most of them deal with uncontrolled variations such as changes in illumination, pose, expression and occlusion individually. However, limited work focuses on simultaneously handling multiple variations. In realworld environment, uncontrolled variations usually coexist. FR approaches which are robust to one kind of variation may fail to deal with another. In this paper, we propose an approach
considering structured sparsity to deal with the illumination changes and occlusion at the same time. Our approach represents a face image taking into account that the face images usually lie in
the structured union of subspaces in a high dimensional feature space. Considering the spatial continuity of the occlusion, we propose a cluster occlusion dictionary for occlusion modelling. In addition, a discriminative feature is embedded in our model to correct the illumination effect. This enables our approach to handle images that lie outside the illumination subspace spanned by the training set. Experimental results on public face databases show that the proposed approach is very robust to large illumination changes and occlusion.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA) | ||||
Publisher: | IEEE | ||||
ISBN: | 9781467321808 | ||||
Official Date: | 2012 | ||||
Dates: |
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Page Range: | pp. 1-7 | ||||
DOI: | 10.1109/DICTA.2012.6411704 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 26 December 2015 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA) | ||||
Type of Event: | Conference | ||||
Location of Event: | Fremantle, Western Austraila | ||||
Date(s) of Event: | 3-5 Dec 2012 |
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