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Illumination-invariant Face recognition by fusing thermal and visual images via gradient transfer
[article]
2019
arXiv
pre-print
Face recognition in real life situations like low illumination condition is still an open challenge in biometric security. It is well established that the state-of-the-art methods in face recognition provide low accuracy in the case of poor illumination. In this work, we propose an algorithm for a more robust illumination invariant face recognition using a multi-modal approach. We propose a new dataset consisting of aligned faces of thermal and visual images of a hundred subjects. We then apply
arXiv:1902.08802v1
fatcat:v6wtc7tmo5hajlqvx2basxdj7a