A face image illumination quality evaluation method based on Gaussian low-pass filter

Author

Fangfang Qu ; Dong Ren ; Xiaobo Liu ; Zhenyu Jing ; Lin Yan

Author_Institution

Coll. of Comput. & Inf. Technol., China Three Gorges Univ., Yichang, China

Volume

01

fYear

2012

fDate

Oct. 30 2012-Nov. 1 2012

Firstpage

176

Lastpage

180

Abstract

In this paper, according to the definition of the face image" illumination quality index (IQI) ", and from the method of illumination normalization, using a Gaussian low-pass filter (GLPF), which is based on single scale Retinex (SSR), to estimate the illumination of the probe face image and the reference image. The similarity score of the two estimated luminance images are calculated by normalized correlation, thus getting the illumination quality index of the probe face image. Finally, through analyzing the distribution of the IQI mean value and standard deviation, Gaussian low-pass filter and Logarithm Discrete Cosine Transformation (LogDCT) are compared, to verify the validity of the illumination quality index to measure the uneven degree of illumination.

Keywords

correlation methods; discrete cosine transforms; face recognition; low-pass filters; GLPF; Gaussian low-pass filter; IQI; IQI mean value; LogDCT; SSR; face image illumination quality evaluation method; illumination normalization; illumination quality index; logarithm discrete cosine transformation; normalized correlation; probe face image; reference image; similarity score; single scale Retinex; standard deviation; Face; Face recognition; Indexes; Lighting; Probes; Standards; Face recognition; Gaussian low-pass filter; Illumination normalization; Illumination quality index; Retinex;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-1855-6

Type

conf

DOI

10.1109/CCIS.2012.6664391

Filename

6664391