Sparsity and Robustness in Face Recognition

A low-dimensional representation of human faces for arbitrary lighting conditions

P. Hallinan · 1994

Earlier work this paper cites.

5 plus or minus 2 eigenimages suffice: An empirical investigation of low-dimensional lighting models

R. Epstein, P. Hallinan, and A. Yuille · 1995

Earlier work this paper cites.

What is the set of images of an object under all possible illumination conditions?

P. Belhumeur and D. Kriegman · 1998

Earlier work this paper cites.

Determining generative modesl of objects under varying illumination: Shape and albedo from multiple images usign SVD and integrability

A. Yuille, D. Snow, R. Epstein, and P. Belhumeur · 1999

Earlier work this paper cites.

From few to many: Illumination cone models for face recognition under variable lighting and pose

A. Georghiades, P. Belhumeur, and D. Kriegman · 2001

Earlier work this paper cites.

Analytic PCA construction for theoretical analysis of lighting variability, including attached shadows, in a single image of a convex lambertian object

R. Ramamoorthi · 2002

Earlier work this paper cites.

Lambertian reflectance and linear subspaces

R. Basri and D. Jacobs · 2003

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Accuracy of spherical harmonic approximations for images of Lambertian objects under far and near lighting

D. Frolova, D. Simakov, and R. Basri · 2004

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Robust face recognition via sparse representation

J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma · 2009

Cited alongside, same era.

Face recognition with contiguous occlusion using markov random fields

Z. Zhou, A. Wagner, H. Mobahi, J. Wright, and Y. Ma · 2009

Cited alongside, same era.

Dense error correction via ℓ 1 \ell^{1} -minimization

J. Wright and Y. Ma · 2010

Cited alongside, same era.

Robust principal component analysis?

E. Candès, X. Li, Y. Ma, and J. Wright · 2011

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RASL: Robust alignment via sparse and low-rank decomposition for linearly correlated images

Y. Peng, A. Ganesh, W. Xu, J. Wright, and Y. Ma · 2011

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Is face recognition really a compressive sensing problem?

Q. Shi, A. Eriksson, A. van den Hengel, and C. Shen · 2011

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Towards a practical automatic face recognition system: robust alignment and illumination by sparse representation

A. Wagner, J. Wright, A. Ganesh, Z. Zhou, and Y. Ma · 2011

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Fast ℓ 1 \ell_{1} -minimization algorithms for robust face recognition

Original

A. Yang, A. Ganesh, Z. Zhou, S. Sastry, and Y. Ma · 2011

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