Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103837
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dc.contributor.authorHuang, Likunen
dc.contributor.authorLu, Jiwenen
dc.contributor.authorTan, Yap Pengen
dc.date.accessioned2015-01-12T03:06:25Zen
dc.date.accessioned2019-12-06T21:21:21Z-
dc.date.available2015-01-12T03:06:25Zen
dc.date.available2019-12-06T21:21:21Z-
dc.date.copyright2014en
dc.date.issued2014en
dc.identifier.citationHuang, L., Lu, J., & Tan, Y.-P. (2014). Multi-manifold metric learning for face recognition based on image sets. Journal of visual communication and image representation, 25(7), 1774-1783.en
dc.identifier.issn1047-3203en
dc.identifier.urihttps://hdl.handle.net/10356/103837-
dc.identifier.urihttp://hdl.handle.net/10220/24578en
dc.description.abstractIn this paper, we propose a new multi-manifold metric learning (MMML) method for the task of face recognition based on image sets. Different from most existing metric learning algorithms that learn the distance metric for measuring single images, our method aims to learn distance metrics to measure the similarity between manifold pairs. In our method, each image set is modeled as a manifold and then multiple distance metrics among different manifolds are learned. With these distance metrics, the intra-class manifold variations are minimized and inter-class manifold variations are maximized simultaneously. For each person, we learn a distance metric by using such a criterion that all the learned distance metrics are person-specific and thus more discriminative. Our method is extensively evaluated on three widely studied face databases, i.e., Honda/UCSD database, CMU MoBo database and Youtube Celebrities database, and compared to the state-of-the-arts. Experimental results are presented to show the effectiveness of the proposed method.en
dc.format.extent29 p.en
dc.language.isoenen
dc.relation.ispartofseriesJournal of visual communication and image representationen
dc.rights© Elsevier Inc. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Visual Communication and Image Representation, Elsevier Inc. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.jvcir.2014.08.006].en
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen
dc.titleMulti-manifold metric learning for face recognition based on image setsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1016/j.jvcir.2014.08.006en
dc.description.versionAccepted versionen
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