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The dimension reduction is necessary steps for face recognition based on subspace analysis. The proposed method employs class information for structure of similarity matrix when implement of 2DLPP. A subspace which preserves local neighbor structure and centralizes same class samples of training images is got. Moreover, it has available computation efficiency and accuracy because it belongs to the...
Image principle component analysis (IMPCA) is a rapid direct feature extract approach from matrix. We present the basic theory of IMPCA from the view of minimizing the mean reconstruction error. We analyze the feature generated from IMPCA and find they present row characters. Wavelet transform can be used in reducing noise of images and the wavelet image should be more suitable for recognition. Our...
A novel fusion method is proposed for image sequence which based on the non-Gaussian statistical modeling of wavelet coefficients. Firstly, the source images are decomposed by dual tree complex wavelet transform (DT-CWT) respectively. Then, the wavelet coefficients are modeled using the generalized Gaussian distribution (GGD). Saliency measure, the weighted coefficient, is calculated by estimating...
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