Review: Sparse Representation for Face Recognition Application

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-5                      
Year of Publication : 2013
Authors : Minakshi S. Nagmote , Dr.Milind M. Mushrif


Minakshi S. Nagmote , Dr.Milind M. Mushrif. "Review: Sparse Representation for Face Recognition Application". International Journal of Engineering Trends and Technology (IJETT). V4(5):1772-1775 May 2013. ISSN:2231-5381. published by seventh sense research group.


In recent years, signal processing has come under pressure to accommodate the increasingly high - dimensional data generated by modern sensing systems. In many cases these high - dimensional signals contain relatively little information compared to their ambient dimensionality. Thus signals can often be well - approximated as a sparse linear combination of elements from a known basis or dictionary. Sparse models are exploited only after acquisition, typically for compression. In this paper we discuss how face detec tion problem is solved using sparse representation with the touch of compressive sensing theory. We consider sparsity based classification here.


[1] A. Samal and P.A. Iyengar, “Automatic recognition and analysis of human faces and facial expressions: A survey,” Pattern recognition , vol. 25, no. 1, pp. 65 – 77, 1992.
[2] R. Chellappa, C.L. Wilson, S. Sirohey, et al., “Human and machine recognition of faces: A survey,” Proceedings of the IEEE , vol. 83, no. 5, pp. 705 – 740, 1995.
[3] B. Fasel and J. Luettin, “Automatic facial expression analysis: a survey,” Pattern Recognition , vol. 36, no.1, pp. 259 – 275, 2003.
[4] J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, “Robust face recognition via sparse representation,” PAMI, vol. 31, no. 2, pp. 210 – 227, 2009.
[5] A. Wagner, J. Wright, A. Ganesh, Z. Zhou, and Y. Ma, “Toward a practical face recognition: Robust pose and illumination via sparse representation,” in CVPR, 2009.
[6] John Wright, Student Member, IEEE, Allen Y. Yang, Member, IEEE, Arvind Ganesh, Student Member, IEEE, S. Shankar Sastry, Fellow, IEEE, and Yi Ma, Senior Member, IEEE, ‘Robust Face Recognition via Sparse Representation’, IEEE trans. On pattern analysis and machine intelligence vol 31 no 2 feb 2009.
[7]John Wright, Allen Yang, and Arvind Ganesh, ’Robust Face Recogniti on via Sparse Representation’, IEEE Trans, 2008.
[8] E. Cande`s, “Compressive Sampling,” Proc. Int’l Congress of Mathematicians, 2006.
[9]A. Bruckstain , D. Donoho, and M. Elad. From sparse solutions of systems of equations to sparse modelling of signal s and image SIAM Review, 2007.
[10]Allen Y Yang, Arvind Ganesh , S. Shankar Sastry,and Yi Ma, Fast l1 - Minimization Algorithms and An application in Robust Face Recognition Review.

Face Recognition, Sparse Representation, l 1 - minimization