Abstract
In this paper, we present an effective technique on discriminative feature extraction for face recognition. The proposed technique incorporates Graph Embedding and the Fisher's criterion where we call it as Neighbourhood Preserving Discriminant Embedding (NPDE). Utilizing the Graph Embedding criterion, the underlying nonlinear face data structure is revealed as representative and discriminative features for analysis. We employ Neighbourhood Preserving Embedding (NPE) for the purpose. NPE takes into account the restriction that neighbouring points in the high-dimensional space must remain within the same neighbourhood in the low dimension space and be located in a similar relative spatial situation (without changing the local structure of the nearest neighbours of each data point). Furthermore, by taking the advantage of the Fisher's criterion, the discriminating power of NPDE is further boosted. Based on this intuition, NPDE obtains better discriminative capability and experimentally verified in ORL, PIE and FRGC.
| Original language | English |
|---|---|
| Pages (from-to) | 532-542 |
| Number of pages | 11 |
| Journal | Journal of Visual Communication and Image Representation |
| Volume | 20 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2009 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Signal Processing
- Media Technology
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
Cite this
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Neighbourhood preserving discriminant embedding in face recognition. / Han, Pang Ying; Jin, Andrew Teoh Beng; Abas, Fazly Salleh.
In: Journal of Visual Communication and Image Representation, Vol. 20, No. 8, 01.11.2009, p. 532-542.Research output: Contribution to journal › Article
TY - JOUR
T1 - Neighbourhood preserving discriminant embedding in face recognition
AU - Han, Pang Ying
AU - Jin, Andrew Teoh Beng
AU - Abas, Fazly Salleh
PY - 2009/11/1
Y1 - 2009/11/1
N2 - In this paper, we present an effective technique on discriminative feature extraction for face recognition. The proposed technique incorporates Graph Embedding and the Fisher's criterion where we call it as Neighbourhood Preserving Discriminant Embedding (NPDE). Utilizing the Graph Embedding criterion, the underlying nonlinear face data structure is revealed as representative and discriminative features for analysis. We employ Neighbourhood Preserving Embedding (NPE) for the purpose. NPE takes into account the restriction that neighbouring points in the high-dimensional space must remain within the same neighbourhood in the low dimension space and be located in a similar relative spatial situation (without changing the local structure of the nearest neighbours of each data point). Furthermore, by taking the advantage of the Fisher's criterion, the discriminating power of NPDE is further boosted. Based on this intuition, NPDE obtains better discriminative capability and experimentally verified in ORL, PIE and FRGC.
AB - In this paper, we present an effective technique on discriminative feature extraction for face recognition. The proposed technique incorporates Graph Embedding and the Fisher's criterion where we call it as Neighbourhood Preserving Discriminant Embedding (NPDE). Utilizing the Graph Embedding criterion, the underlying nonlinear face data structure is revealed as representative and discriminative features for analysis. We employ Neighbourhood Preserving Embedding (NPE) for the purpose. NPE takes into account the restriction that neighbouring points in the high-dimensional space must remain within the same neighbourhood in the low dimension space and be located in a similar relative spatial situation (without changing the local structure of the nearest neighbours of each data point). Furthermore, by taking the advantage of the Fisher's criterion, the discriminating power of NPDE is further boosted. Based on this intuition, NPDE obtains better discriminative capability and experimentally verified in ORL, PIE and FRGC.
UR - http://www.scopus.com/inward/record.url?scp=70350125913&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350125913&partnerID=8YFLogxK
U2 - 10.1016/j.jvcir.2009.08.003
DO - 10.1016/j.jvcir.2009.08.003
M3 - Article
AN - SCOPUS:70350125913
VL - 20
SP - 532
EP - 542
JO - Journal of Visual Communication and Image Representation
JF - Journal of Visual Communication and Image Representation
SN - 1047-3203
IS - 8
ER -