Due to difficulty in controlling the lighting conditions in practical applications, variable illumination is one of the most challenging tasks in face recognition. Prior to face recognition, illumination compensation has to be performed, whereby the uneven illumination of human faces is compensated and face images in normal lighting conditions are reconstructed. The reconstructed face images are then used for classification. An illumination compensation scheme includes the following modules: lighting category evaluation, shape normalization, and lighting compensation.
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