Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

A New Kernel Orthogonal Projection Analysis Approach for Face Recognition

Authors
Xiaoyuan Jing, Min Li, Yongfang Yao, Songhao Zhu, Sheng Li
Corresponding Author
Xiaoyuan Jing
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.727How to use a DOI?
Keywords
kernel orthogonal projection analysis, feature extraction, locally orthogonal constraints, face recognition
Abstract
In the field of face recognition, how to extract effective nonlinear discriminative features is an important research topic. In this paper, we propose a new kernel orthogonal projection analysis approach. We obtain the optimal nonlinear projective vector which can differentiate one class and its adjacent classes, by using the Fisher criterion and constructing the specific between-class and within-class scatter matrices in kernel space. In addition, to eliminate the redundancy among projective vectors, our approach makes every projective vector satisfy locally orthogonal constraints by using the corresponding class and part of its most adjacent classes. Experimental results on the public AR and CAS-PEAL face databases demonstrate that the proposed approach outperforms several representative nonlinear projection analysis methods.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.727How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoyuan Jing
AU  - Min Li
AU  - Yongfang Yao
AU  - Songhao Zhu
AU  - Sheng Li
PY  - 2013/03
DA  - 2013/03
TI  - A New Kernel Orthogonal Projection Analysis Approach for Face Recognition
BT  - Conference of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2914
EP  - 2917
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.727
DO  - https://doi.org/10.2991/iccsee.2013.727
ID  - Jing2013/03
ER  -