DocumentCode :
438870
Title :
Illumination compensation and normalization using logarithm and discrete cosine transform
Author :
Chen, Weilong ; Er, Meng Joo ; Wu, Shiqian
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
1
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
380
Abstract :
This paper presents a novel illumination normalization approach for face recognition under varying lighting conditions. First, we demonstrate that illumination compensation can be efficiently implemented in the logarithm domain. In the proposed approach, discrete cosine transform (DCT) is employed to compensate for illumination variations in the logarithm domain. Since illumination variations mainly lie in the low-frequency band, an appropriate number of DCT coefficients are truncated to reduce the variations under different lighting conditions. The salient feature of our approach is that it does not need any training or modelling step and can be easily implemented with high speed.
Keywords :
discrete cosine transforms; face recognition; lighting; discrete cosine transform; face recognition; illumination compensation; illumination normalization approach; illumination variations; logarithm domain; low-frequency band; varying lighting conditions; Discrete cosine transforms; Drives; Face recognition; Feature extraction; Humans; Image processing; Intelligent systems; Lighting; Linear discriminant analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1468855
Filename :
1468855
Link To Document :
بازگشت