An Illumination Invariant Face Recognition Method Based on Gradientfaces and 2DLDA
- 10.2991/csic-15.2015.102How to use a DOI?
- Gradientfaces, 2DLDA, Face recognition
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.
- © 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 - 10.2991/csic-15.2015.102 ID - Qi2015/07 ER -