Reproduce “Face De-Identification: A Domain-Centric Survey from Capture to Processing” on OpenResearch

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About this paper

Hui Wei, Hao Yu, Guoying Zhao

The survey organizes face de-identification methods by when protection enters the imaging pipeline: before capture, during capture, or after an image is recorded. It reviews 112 methods and finds that privacy is reported across all three domains, while utility reporting ranges from 0% of physical methods to 100% of sensor methods. These are reporting rates, not comparable performance results.

Summary by alphaXiv.

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