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Many previous image processing methods discard low-frequency components of images to extract illumination invariant for face recognition. However, this method may cause distortion of processed images and perform poorly under normal lighting. In this paper, a new method is proposed to deal with illumination problem in face recognition. Firstly, we define a score to denote a relative difference of the...
In this paper, a novel method based on former cases for plastic surgery prediction is presented. This method takes a pre-operative frontal facial picture as an input. Landmarks of the face are then extracted and constitute a distance vector. As a set of facial parameters, such a vector is entered into either a support vector regression (SVR) predictor or a k-nearest neighbor (KNN) predictor which...
Because of the low recognition rate by affinity propagation (AP) we propose an algorithm to make face recognition based on two dimension double PCA (2DDPCA) and affinity propagation in this paper. First we use two dimension principle component analysis (2DPCA) to compress the face images in horizontal direction, then we compress the features in vertical direction using 2DPCA again. At last we use...
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