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- W1998022503 abstract "In this paper we propose the first method known to the authors that successfully differentiates spontaneous from posed facial expressions using a realistic training corpus. We propose a new spatiotemporal local texture descriptor (CLBP-TOP) that outperforms other descriptors. We demonstrate that our temporal interpolation and visual/near-infrared fusion methods improve the differentiation performance. Finally, we propose a new generic facial expression recognition framework that subdivides the facial expression recognition problem into a cascade of smaller tasks that are simpler to tackle. The system is the first to differentiate spontaneous from posed facial expressions with a realistic corpus and achieves promising results." @default.
- W1998022503 created "2016-06-24" @default.
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- W1998022503 date "2011-11-01" @default.
- W1998022503 modified "2023-10-13" @default.
- W1998022503 title "Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework" @default.
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- W1998022503 doi "https://doi.org/10.1109/iccvw.2011.6130343" @default.
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