Distinguishable de-identified faces
Sun, Zongji, Meng, Li and Ariyaeeinia, A.
(2015)
Distinguishable de-identified faces.
In: 2015 11th IEEE Int Conf and Workshops on Automatic Face and Gesture Recognition (FG), 2015-05-04 - 2015-05-08.
The k-anonymity approach adopted by k-Same face de-identification methods enables these methods to serve their purpose of privacy protection. However, it also forces every k original faces to share the same de-identified face, making it impossible to track individuals in a k-Same de-identified video. To address this issue, this paper presents an approach to the creation of distinguishable de-identified faces. This new approach can serve privacy protection perfectly whilst producing de-identified faces that are as distinguishable as their original faces.
Item Type | Conference or Workshop Item (Other) |
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Keywords | biometrics, privacy protection, data security |
Date Deposited | 15 May 2025 16:36 |
Last Modified | 10 Jul 2025 23:33 |
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picture_as_pdf - IEEE_explorer_download_07285019.pdf
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