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- W2484328122 abstract "In this paper, single sample face recognition SSFR problem is addressed by introducing an adaptive biometric system within a modular architecture where one detector per target individual is proposed. For each detector, a face model is generated with the gallery face image and updated overtime. Sequential Karhunen-Loeve technique is applied to update the face model using representative face captures which are selected from the operational data by using reliable tracking trajectories. This process helps to induce intra-class variation of face appearance and improve representativeness of the face models. The effectiveness of the proposed method is detailed in security surveillance and user authentication using Chokepoint and FIA datasets in SSFR setting." @default.
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- W2484328122 date "2016-01-01" @default.
- W2484328122 modified "2023-09-26" @default.
- W2484328122 title "An Approach to Improving Single Sample Face Recognition Using High Confident Tracking Trajectories" @default.
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- W2484328122 doi "https://doi.org/10.1007/978-3-319-34111-8_16" @default.
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