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- W2057282986 abstract "In view of the problem of feature extraction in face recognition, a Log-Gabor wavelet and uncorrelated LDE (LgULDE) based on algorithm for face recognition is proposed in this paper. The proposed algorithm first gets the high-order statistical information by calculating the Log-Gabor wavelet representation of face images. Face images are decomposed into their spatial or frequency domains by Log-Gabor wavelet transforms. Then an uncorrelated basis function constraint is added into LDE algorithm, which is utilized to select the Log-Gabor feature vectors. Finally, the robust and discriminative feature vectors are extracted for classification. Experiments on the ORL and PIE database demonstrate the effectiveness of the new algorithm." @default.
- W2057282986 created "2016-06-24" @default.
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- W2057282986 date "2010-08-01" @default.
- W2057282986 modified "2023-10-05" @default.
- W2057282986 title "Face recognition based on Log-Gabor and uncorrelated LDE" @default.
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- W2057282986 doi "https://doi.org/10.1109/icnc.2010.5582444" @default.
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