Title :
Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain
Author :
Chen, Weilong ; Er, Meng Joo ; Wu, Shiqian
Author_Institution :
Comput. Control Lab, Nanyang Technol. Univ., Singapore
fDate :
4/1/2006 12:00:00 AM
Abstract :
This paper presents a novel illumination normalization approach for face recognition under varying lighting conditions. In the proposed approach, a 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 minimize variations under different lighting conditions. Experimental results on the Yale B database and CMU PIE database show that the proposed approach improves the performance significantly for the face images with large illumination variations. Moreover, the advantage of our approach is that it does not require any modeling steps and can be easily implemented in a real-time face recognition system.
Keywords :
discrete cosine transforms; face recognition; feature extraction; lighting; CMU PIE database; DCT; Yale B database; discrete cosine transform; illumination compensation; illumination normalization approach; lighting conditions; logarithm transform; robust real-time face recognition system; Adaptive equalizers; Discrete cosine transforms; Erbium; Face recognition; Helium; Histograms; Image databases; Lighting; Robustness; Shape; Discrete cosine transform; face recognition; illumination normalization; logarithm transform; Algorithms; Artificial Intelligence; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Lighting; Pattern Recognition, Automated; Photography; Photometry; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2005.857353