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Face Recognition in Global Harmonic Subspace

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Face Recognition in Global Harmonic Subspace. / Jiang, Richard M.; Crookes, Danny; Luo, Nie.
In: IEEE Transactions on Information Forensics and Security, Vol. 5, No. 3, 09.2010, p. 416-424.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jiang, RM, Crookes, D & Luo, N 2010, 'Face Recognition in Global Harmonic Subspace', IEEE Transactions on Information Forensics and Security, vol. 5, no. 3, pp. 416-424. https://doi.org/10.1109/TIFS.2010.2051544

APA

Jiang, R. M., Crookes, D., & Luo, N. (2010). Face Recognition in Global Harmonic Subspace. IEEE Transactions on Information Forensics and Security, 5(3), 416-424. https://doi.org/10.1109/TIFS.2010.2051544

Vancouver

Jiang RM, Crookes D, Luo N. Face Recognition in Global Harmonic Subspace. IEEE Transactions on Information Forensics and Security. 2010 Sept;5(3):416-424. doi: 10.1109/TIFS.2010.2051544

Author

Jiang, Richard M. ; Crookes, Danny ; Luo, Nie. / Face Recognition in Global Harmonic Subspace. In: IEEE Transactions on Information Forensics and Security. 2010 ; Vol. 5, No. 3. pp. 416-424.

Bibtex

@article{0bf516d9b02d4e1891364226912dd0d5,
title = "Face Recognition in Global Harmonic Subspace",
abstract = "In this paper, a novel pattern recognition scheme, global harmonic subspace analysis (GHSA), is developed for face recognition. In the proposed scheme, global harmonic features are extracted at the semantic scale to capture the 2-D semantic spatial structures of a face image. Laplacian Eigenmap is applied to discriminate faces in their global harmonic subspace. Experimental results on the Yale and PIE face databases show that the proposed GHSA scheme achieves an improvement in face recognition accuracy when compared with conventional subspace approaches, and a further investigation shows that the proposed GHSA scheme has impressive robustness to noise.",
keywords = "Face recognition, global harmonic subspace analysis (GHSA), Hartley transform, Laplacian Eigenmap",
author = "Jiang, {Richard M.} and Danny Crookes and Nie Luo",
year = "2010",
month = sep,
doi = "10.1109/TIFS.2010.2051544",
language = "English",
volume = "5",
pages = "416--424",
journal = "IEEE Transactions on Information Forensics and Security",
issn = "1556-6013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Face Recognition in Global Harmonic Subspace

AU - Jiang, Richard M.

AU - Crookes, Danny

AU - Luo, Nie

PY - 2010/9

Y1 - 2010/9

N2 - In this paper, a novel pattern recognition scheme, global harmonic subspace analysis (GHSA), is developed for face recognition. In the proposed scheme, global harmonic features are extracted at the semantic scale to capture the 2-D semantic spatial structures of a face image. Laplacian Eigenmap is applied to discriminate faces in their global harmonic subspace. Experimental results on the Yale and PIE face databases show that the proposed GHSA scheme achieves an improvement in face recognition accuracy when compared with conventional subspace approaches, and a further investigation shows that the proposed GHSA scheme has impressive robustness to noise.

AB - In this paper, a novel pattern recognition scheme, global harmonic subspace analysis (GHSA), is developed for face recognition. In the proposed scheme, global harmonic features are extracted at the semantic scale to capture the 2-D semantic spatial structures of a face image. Laplacian Eigenmap is applied to discriminate faces in their global harmonic subspace. Experimental results on the Yale and PIE face databases show that the proposed GHSA scheme achieves an improvement in face recognition accuracy when compared with conventional subspace approaches, and a further investigation shows that the proposed GHSA scheme has impressive robustness to noise.

KW - Face recognition

KW - global harmonic subspace analysis (GHSA)

KW - Hartley transform

KW - Laplacian Eigenmap

U2 - 10.1109/TIFS.2010.2051544

DO - 10.1109/TIFS.2010.2051544

M3 - Journal article

VL - 5

SP - 416

EP - 424

JO - IEEE Transactions on Information Forensics and Security

JF - IEEE Transactions on Information Forensics and Security

SN - 1556-6013

IS - 3

ER -