Neighbourhood discriminant embedding in face recognition

Citation

Pang, Ying Han and Teoh, Andrew Ben Jin and Wong, Eng Kiong (2008) Neighbourhood discriminant embedding in face recognition. IEICE Electronics Express, 5 (24). pp. 1036-1041. ISSN 1349-2543

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Abstract

Neighborhood Preserving Embedding (NPE) is a linear approximate of Locally Linear Embedding with local geometry preserving property. An efficient face recognition method requires a mapping to separate within-class structure from between-class structure. But, NPE is not in the case since it is unsupervised. Hence, we improved NPE-utilizing the neighbor and class relations of face data. The proposed technique, Neighborhood Discriminant Embedding (NDE), takes into account the local neighboring and the between-class neighboring information. NDE seeks a projection in such that the projected samples of different classes are far apart. Experimental results show that NDE achieves superior results to NPE in face authentication with error reduction at least 20%.

Item Type: Article
Uncontrolled Keywords: face authentication system, Neighborhood Preserving Embedding, within-class submanifold, between-class submanifold
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 23 Sep 2011 03:29
Last Modified: 05 Jan 2017 04:21
URII: http://shdl.mmu.edu.my/id/eprint/1944

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