Abstract
Subspace learning techniques are among the most popular methods for face recognition. In this paper, we propose a novel face recognition technique for two dimensional subspace learning which is able to exploit the symmetry nature
of human faces. We extent the Two Dimensional Clustering based Discriminant Analysis (2DCDA) by incorporating an appropriate symmetry regularizer into its objective function in order to determine symmetric projection vectors. The
proposed Symmetric Two Dimensional Clustering based Discriminant Analysis technique has been applied to the face recognition problem. Experimental results showed that the proposed technique achieves better classification performance
in comparison to the standard one.
of human faces. We extent the Two Dimensional Clustering based Discriminant Analysis (2DCDA) by incorporating an appropriate symmetry regularizer into its objective function in order to determine symmetric projection vectors. The
proposed Symmetric Two Dimensional Clustering based Discriminant Analysis technique has been applied to the face recognition problem. Experimental results showed that the proposed technique achieves better classification performance
in comparison to the standard one.
Original language | English |
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Title of host publication | 2015 23rd European Signal Processing Conference (EUSIPCO) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 155-159 |
Number of pages | 5 |
ISBN (Electronic) | 9780992862633 |
ISBN (Print) | 9781479988518 |
DOIs | |
Publication status | Published - 28 Dec 2015 |
Event | 23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France Duration: 31 Aug 2015 → 4 Sept 2015 |
Publication series
Name | Proceedings of the European Signal Processing Conference (EUSIPCO) |
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Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISSN (Print) | 2219-5491 |
Conference
Conference | 23rd European Signal Processing Conference, EUSIPCO 2015 |
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Country/Territory | France |
City | Nice |
Period | 31/08/15 → 4/09/15 |
Keywords
- face recognition
- subspace learning
- symmetry regularizer
- two-dimentional clustering-based discriminant analysis