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- W2056314172 abstract "In this paper, we propose a robust multi-layer texture representation for facial expressions. Our representation is built up using multi-resolution (MR) uniform local binary pattern (ULBP) features on multi-areas (MA) in facial image. Experiments show that this multi-resolution and multi-area (MRMA) strategy could both greatly improve the discriminative ability of texture representation. Based on the proposed MRMA ULBP representation for facial expression, we propose a MRMA ULBP representation + SVM classifier facial expression recognition system. Experiments based on 21 trained one-against-one SVM classifiers show average recognition accuracy of 92.59% on JAFFE database." @default.
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- W2056314172 date "2010-02-26" @default.
- W2056314172 modified "2023-09-23" @default.
- W2056314172 title "Facial expression recognition using joint multi-resolution multi-area ULBP representation" @default.
- W2056314172 doi "https://doi.org/10.1117/12.852739" @default.
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