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• W2885181203 abstract "Face recognition under variant illumination conditions has been one of the major research topics in the development of face recognition systems. In this paper we analyze the strength and the weakness of different types of approaches, and design an illumination robust feature by combining the directional and amplitude information as an optimal solution to the problem. We first extract and process the direction and amplitude information of the pixel changes, and then fuse them into a comprehensive feature. We conducted our experiments on CMU-PIE database and Extended Yale B database, and all the results have shown the effectiveness of our approach." @default.
• W2885181203 created "2018-08-22" @default.
• W2885181203 creator A5029203943 @default.
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• W2885181203 date "2018-01-01" @default.
• W2885181203 modified "2023-09-27" @default.
• W2885181203 title "Local Directional Amplitude Feature for Illumination Normalization with Application to Face Recognition" @default.
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• W2885181203 doi "https://doi.org/10.1007/978-3-319-97909-0_32" @default.
• W2885181203 hasPublicationYear "2018" @default.
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