A discriminant-based locality preserving embedding in face recognition

Pang Ying Han; Andrew Teoh Beng Jin; Khoh Wee How

doi:10.1109/ICCAIE.2010.5735047

A discriminant-based locality preserving embedding in face recognition

Pang Ying Han, Andrew Teoh Beng Jin, Khoh Wee How

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Locally Linear Embedding (LLE) is a popular dimension reduction technique due to its nonlinearity property. However, LLE is restricted to its unsupervised nature and "out-of-sample problem" in which suboptimal to face recognition problem. Hence, we propose a supervised and linear approximation of LLE, known as Neighborhood Preserving Discriminant Embedding (NPDE). Using the class information, NPDE finds an optimal projection so that the ratio of the within-neighborhood scatter and the between-neighborhood scatter is minimized. NPDE signifies the local neighboring geometry that corresponding to the nonlinear underlying data structure in the image space. Based on this intuition, NPDE shows better discriminative capability in face recognition.

Original language	English
Title of host publication	ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics
Pages	59-62
Number of pages	4
DOIs	https://doi.org/10.1109/ICCAIE.2010.5735047
Publication status	Published - 2010
Event	2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 - Kuala Lumpur, Malaysia Duration: 2010 Dec 5 → 2010 Dec 7

Publication series

Name	ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics

Other

Other	2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010
Country/Territory	Malaysia
City	Kuala Lumpur
Period	10/12/5 → 10/12/7

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

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10.1109/ICCAIE.2010.5735047

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Han, P. Y., Jin, A. T. B., & How, K. W. (2010). A discriminant-based locality preserving embedding in face recognition. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics (pp. 59-62). [5735047] (ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics). https://doi.org/10.1109/ICCAIE.2010.5735047

@inproceedings{dda9a2ecc51e4f818cb76d9be660e2af,

title = "A discriminant-based locality preserving embedding in face recognition",

abstract = "Locally Linear Embedding (LLE) is a popular dimension reduction technique due to its nonlinearity property. However, LLE is restricted to its unsupervised nature and {"}out-of-sample problem{"} in which suboptimal to face recognition problem. Hence, we propose a supervised and linear approximation of LLE, known as Neighborhood Preserving Discriminant Embedding (NPDE). Using the class information, NPDE finds an optimal projection so that the ratio of the within-neighborhood scatter and the between-neighborhood scatter is minimized. NPDE signifies the local neighboring geometry that corresponding to the nonlinear underlying data structure in the image space. Based on this intuition, NPDE shows better discriminative capability in face recognition.",

author = "Han, {Pang Ying} and Jin, {Andrew Teoh Beng} and How, {Khoh Wee}",

year = "2010",

doi = "10.1109/ICCAIE.2010.5735047",

language = "English",

isbn = "9781424490554",

series = "ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics",

pages = "59--62",

booktitle = "ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics",

note = "2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 ; Conference date: 05-12-2010 Through 07-12-2010",

}

Han, PY, Jin, ATB & How, KW 2010, A discriminant-based locality preserving embedding in face recognition. in ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics., 5735047, ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics, pp. 59-62, 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010, Kuala Lumpur, Malaysia, 10/12/5. https://doi.org/10.1109/ICCAIE.2010.5735047

A discriminant-based locality preserving embedding in face recognition. / Han, Pang Ying; Jin, Andrew Teoh Beng; How, Khoh Wee.
ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics. 2010. p. 59-62 5735047 (ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A discriminant-based locality preserving embedding in face recognition

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N2 - Locally Linear Embedding (LLE) is a popular dimension reduction technique due to its nonlinearity property. However, LLE is restricted to its unsupervised nature and "out-of-sample problem" in which suboptimal to face recognition problem. Hence, we propose a supervised and linear approximation of LLE, known as Neighborhood Preserving Discriminant Embedding (NPDE). Using the class information, NPDE finds an optimal projection so that the ratio of the within-neighborhood scatter and the between-neighborhood scatter is minimized. NPDE signifies the local neighboring geometry that corresponding to the nonlinear underlying data structure in the image space. Based on this intuition, NPDE shows better discriminative capability in face recognition.

AB - Locally Linear Embedding (LLE) is a popular dimension reduction technique due to its nonlinearity property. However, LLE is restricted to its unsupervised nature and "out-of-sample problem" in which suboptimal to face recognition problem. Hence, we propose a supervised and linear approximation of LLE, known as Neighborhood Preserving Discriminant Embedding (NPDE). Using the class information, NPDE finds an optimal projection so that the ratio of the within-neighborhood scatter and the between-neighborhood scatter is minimized. NPDE signifies the local neighboring geometry that corresponding to the nonlinear underlying data structure in the image space. Based on this intuition, NPDE shows better discriminative capability in face recognition.

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BT - ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics

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Y2 - 5 December 2010 through 7 December 2010

ER -

A discriminant-based locality preserving embedding in face recognition

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