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dc.contributor.authorQiu, Hui-ning
dc.contributor.authorPham, DucSon
dc.contributor.authorVenkatesh, Svetha
dc.contributor.authorLiu, Wan-quan
dc.contributor.authorlai, Jian-huang
dc.contributor.editorA. Salah, T. Gevers, N. Sebe, A. Vinciarelli
dc.date.accessioned2017-01-30T12:07:08Z
dc.date.available2017-01-30T12:07:08Z
dc.date.created2010-12-02T20:03:28Z
dc.date.issued2010
dc.identifier.citationQiu, H. and Pham, Duc and Venkatesh, Svetha and Liu, Wan-quan and lai, J. 2010. A fast extension for sparse representation on robust face recognition, in Salah, A., Gevers, T., Sebe, N., Vinciarelli, A. (ed), 20th International Conference on Pattern Recognition, ICPR 2010, Aug 23 2010, pp. 1023-1027. Istanbul, Turkey: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/18320
dc.description.abstract

We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whilst still maintaining performance. Our contributions include: (1) a new 2D extension of SRC algorithm; (2) an incremental computing procedure which can reduce the eigen decomposition expense of each 2D-SRC for sequential input data; and (3) extensive numerical studies to validate the proposed methods.

dc.publisherSpringer
dc.subjectFace Recognition
dc.subjectSparse Representation
dc.subjectCompressive Sensing
dc.subjectIncremental Learning
dc.titleA fast extension for sparse representation on robust face recognition
dc.typeConference Paper
dcterms.source.startPage1023
dcterms.source.endPage1027
dcterms.source.titleLecture Notes in Computer Science 6219
dcterms.source.seriesLecture Notes in Computer Science 6219
dcterms.source.isbn9783642147142
dcterms.source.conference20th International Conference on Pattern Recognition, ICPR 2010
dcterms.source.conference-start-dateAug 23 2010
dcterms.source.conferencelocationIstanbul, Turkey
dcterms.source.placeNew York
curtin.note

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.accessStatusOpen access
curtin.accessStatusOpen access
curtin.facultySchool of Science and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering


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