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- W2757191421 abstract "In the past few decades, automatic face recognition has been an important vision task. In this paper, we exploit the spatial relationships of facial local regions by using a novel deep network. In the proposed method, face is spatially scanned with spatial long short-term memory (LSTM) to encode the spatial correlation of facial regions. Moreover, with facial regions of various scales, the complementary information of the multi-scale facial features is encoded. Experimental results on public database showed that the proposed method outperformed the conventional methods by improving the face recognition accuracy under illumination variation." @default.
- W2757191421 created "2017-10-06" @default.
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- W2757191421 date "2017-09-01" @default.
- W2757191421 modified "2023-09-25" @default.
- W2757191421 title "Multi-Scale Facial Scanning via Spatial Lstm for Latent Facial Feature Representation" @default.
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- W2757191421 doi "https://doi.org/10.23919/biosig.2017.8053515" @default.
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