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The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage
[article]
2020
arXiv
pre-print
We propose a reversible face de-identification method for low resolution video data, where landmark-based techniques cannot be reliably used. Our solution is able to generate a photo realistic de-identified stream that meets the data protection regulations and can be publicly released under minimal privacy constraints. Notably, such stream encapsulates all the information required to later reconstruct the original scene, which is useful for scenarios, such as crime investigation, where the
arXiv:2007.04316v1
fatcat:lzjaitgezrd6zfqnlphb35bdty