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A fast extension for sparse representation on robust face recognition

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Open access
Authors
Qiu, Hui-ning
Pham, DucSon
Venkatesh, Svetha
Liu, Wan-quan
lai, Jian-huang
Date
2010
Type
Conference Paper

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Citation
Qiu, 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.
Source Title
Lecture Notes in Computer Science 6219
Source Conference
20th International Conference on Pattern Recognition, ICPR 2010
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Faculty
School of Science and Computing
Department of Computing
Faculty of Science and Engineering
Remarks

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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.