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• W2892355285 abstract "In this work, a simple and efficient approach for recognizing faces from light field images, notably from Lytro IlLum camera, is proposed. The suggested method is based on light field images property of being rendered through a multiview representation. In the preliminary analysis, feature vectors extracted from different views of the same Lytro picture are proved different enough to provide complementary information beneficial for face recognition purpose. Starting from a set of multiple views for each data, face verification problem is tackled and results are compared with those achieved with classical 2D images simulated using a single view, i.e. the central one. Two experiments are described and, in both cases, the presented method shows superior performances than standard algorithms adopted by classical imaging sensors." @default.
• W2892355285 created "2018-09-27" @default.
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• W2892355285 date "2018-09-01" @default.
• W2892355285 modified "2023-09-25" @default.
• W2892355285 title "On Multi-View Face Recognition Using Lytro Images" @default.
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• W2892355285 doi "https://doi.org/10.23919/eusipco.2018.8553572" @default.
• W2892355285 hasPublicationYear "2018" @default.
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