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Rapid face recognition using hashing

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Shi, Qinfeng; Li, Hanxi; Shen, Chunhua

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We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach [18], which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than [18] o

dc.contributor.authorShi, Qinfeng
dc.contributor.authorLi, Hanxi
dc.contributor.authorShen, Chunhua
dc.coverage.spatialSan Francisco USA
dc.date.accessioned2015-12-10T22:50:39Z
dc.date.createdJune 13-18 2010
dc.identifier.isbn9781424469857
dc.identifier.urihttp://hdl.handle.net/1885/58711
dc.description.abstractWe propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach [18], which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than [18] o
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesComputer Vision and Pattern Recognition Conference (CVPR 2010)
dc.sourceProceedings of The 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010)
dc.subjectKeywords: Data sets; High probability; Recognition rates; Sparse representation; Computer vision; Face recognition
dc.titleRapid face recognition using hashing
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2010
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationu8803936xPUB454
local.type.statusPublished Version
local.contributor.affiliationShi, Qinfeng, College of Engineering and Computer Science, ANU
local.contributor.affiliationLi, Hanxi, College of Engineering and Computer Science, ANU
local.contributor.affiliationShen, Chunhua, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage8
local.identifier.doi10.1109/CVPR.2010.5540001
dc.date.updated2016-02-24T11:45:08Z
local.identifier.scopusID2-s2.0-77956008921
CollectionsANU Research Publications

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