mlsanityData to 7 Oct 2026

Totems: Physical Objects for Verifying Visual Integrity

arXiv 2209.13032 ↗First posted 26 Sep 2022cs.CVcited by 3

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Abstract (arXiv)

We introduce a new approach to image forensics: placing physical refractive objects, which we call totems, into a scene so as to protect any photograph taken of that scene. Totems bend and redirect light rays, thus providing multiple, albeit distorted, views of the scene within a single image. A defender can use these distorted totem pixels to detect if an image has been manipulated. Our approach unscrambles the light rays passing through the totems by estimating their positions in the scene and using their known geometric and material properties. To verify a totem-protected image, we detect inconsistencies between the scene reconstructed from totem viewpoints and the scene's appearance from the camera viewpoint. Such an approach makes the adversarial manipulation task more difficult, as the adversary must modify both the totem and image pixels in a geometrically consistent manner without knowing the physical properties of the totem. Unlike prior learning-based approaches, our method does not require training on datasets of specific manipulations, and instead uses physical properties of the scene and camera to solve the forensics problem.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 23 of its 48 references that are in the map. First posted on arXiv 26 Sep 2022.

Builds on

23 of 48 references.

References · 23

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11 more
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Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.