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arXiv Computer Vision By Hengyu Lian, Debabrata Mandal, Anzhou Wen, Yujie Wang, Xi Peng, Praneeth Chakravarthula

Conditional Imaging for Privacy-Preserving Visual Sensing

Read the original on arXiv Computer Vision →

The paper introduces conditional imaging, an approach that alters the optical state for each captured frame so that the measurement alone hides the scene while reconstruction requires knowledge of the system state. The authors prove that static optical systems cannot simultaneously guarantee privacy and recoverability, and they design a camera prototype that demonstrates this trade‑off on a human‑face dataset. Experiments show that authorized users can reconstruct identity, whereas observers lacking the system state cannot retrieve visual information.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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