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- W124070850 abstract "This paper proposes a method to perform expression invariant face recognition using dictionary learning approach. The proposed method performs the operation in the following stages: the T-region extraction from the face to get the facial region having minimum variation with expression, determination of the wavelet coefficients of the extracted region, dictionary learning using K-SVD and matching. The experiment has been performed on a database that contains 40 persons with 9 expressions each under different illumination conditions. The recognition performed has shown a good accuracy rate as compared to the mostly used PCA-SVM approach. Our system uses label-consistent K-SVD algorithm for dictionary learning to learn a set of dictionaries that represents 3D information of the face. This method fulfills the purpose of sparse coding and classification." @default.
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- W124070850 date "2014-01-01" @default.
- W124070850 modified "2023-09-27" @default.
- W124070850 title "Expression-Invariant 3D Face Recognition Using K-SVD Method" @default.
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- W124070850 doi "https://doi.org/10.1007/978-3-319-04126-1_23" @default.
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