Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain

By Weilong Chen, Meng Joo Er, Shiqian Wu. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 2006

618 citations recorded by the source corpus.

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Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes (2014, neutral): “Finally, Section 5 concludes the paper.”
Deep Facial Expression Recognition: A Survey (2018, methodology): “on. Besides histogram equalization, three frequently used illumination normalization methods, namely, isotropic diffusion (IS)-based normalization, discrete cosine transform (DCT)-based normalization [64] and difference of Gaussian (DoG), were evaluated in [39]. The experimental results suggested th”
Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition (2011, methodology): “Following [9], the normalised image I log is calculated using:”
Recognizing Rotated Faces From Frontal and Side Views: An Approach Toward Effective Use of Mugshot Databases (2008, methodology): “In this paper, we report the complete and improved formulation, thorough investigation and extended experimental evaluation of our system.”