The methods of improving variable illumination for face recognition

Author

Duan, Jin ; Zhou, Chun-Guang ; Liu, Xiao-Hua ; Zhang, Li-Biao ; Liu, Miao

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China

Volume

6

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

3918

Abstract

The illumination fluctuation is one of the important factors that influence the precision of face recognition. When environmental illumination is changed, the implementation method which is often used in the laboratory may not be effective any longer. Several traditional methods for compensating and improving variable illumination are discussed in this paper. Then a novel algorithm based on wavelet analysis is presented to find the invariance of illumination. Several empirical tests are given to demonstrate the effectiveness of our method. The method can be applied to a real system. And it can also improve the system robustness and adaptability.

Keywords

face recognition; invariance; lighting; robust control; environmental illumination; face recognition; illumination fluctuation; system adaptability; system robustness; variable illumination invariance; wavelet analysis; Algorithm design and analysis; Application software; Educational institutions; Face detection; Face recognition; Fluctuations; Lighting; Reflectivity; Robustness; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1380533

Filename

1380533