Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

An Illumination Invariant Face Recognition Method Based on Gradientfaces and 2DLDA

Authors
Yongfeng Qi, Yuanlian Huo
Corresponding Author
Yongfeng Qi
Available Online July 2015.
DOI
https://doi.org/10.2991/csic-15.2015.102How to use a DOI?
Keywords
Gradientfaces, 2DLDA, Face recognition
Abstract

Extracting illumination invariant features is an effective method to improve recognition rate of algorithm with varying illumination. In this paper, a novel illumination invariant method which combines Gradientface and 2DPDA is proposed. First, this approach transforms a face image into Gradientface, then the 2DPCA is used to reduce the dimension of Gradientface. The experimental results verify the effectiveness of our approach on CAS-PEAR-R1 and CMU PIE face databases.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
978-94-62520-84-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/csic-15.2015.102How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yongfeng Qi
AU  - Yuanlian Huo
PY  - 2015/07
DA  - 2015/07
TI  - An Illumination Invariant Face Recognition Method Based on Gradientfaces and 2DLDA
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 422
EP  - 424
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.102
DO  - https://doi.org/10.2991/csic-15.2015.102
ID  - Qi2015/07
ER  -