Face recognition under varying lighting conditions using self quotient image

By Haitao Wang, S. Li, Yangsheng Wang. Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings., 2004

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Can we still avoid automatic face detection? (2016, background): “Some systems additionally try to correct for lighting [22, 23] and expression [3] differences.”
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions (2007, methodology): “, nearest neighbors) based on image pixel representations [10], [35], [44], but its influence on more sophisticated feature sets has not received the attention that it deserves.”
Total variation models for variable lighting face recognition (2006, background): “[44], [43] is that we can divide the original image I by S to recover : 1⁄4 I S .”
Face Recognition Under Varying Illumination Using Gradientfaces (2009, methodology): “In this section, we evaluate the proposed Gradientfaces method by several experiments on different databases, including an outdoor database taken under uncontrolled natural lighting conditions, and compared the proposed method with MSR [18], SQI [20], [21], and LTV [23] methods under the same experi”