Lune

ACM MM2022Top-tier venue

Privacy-preserving Reflection Rendering for Augmented Reality

Yiqin Zhao, Sheng Wei, Tian Guo

2022Year
12Citations
6Top-tier citations

Abstract

When the virtual objects consist of reflective materials, the required lighting information to render such objects can consist of privacy-sensitive information outside the current camera view. In this paper, we show, for the first time, that accuracy-driven multi-view environment lighting can reveal out-of-camera scene information and compromise privacy. We present a simple yet effective privacy attack that extracts sensitive scene information such as human faces and text from rendered objects under several application scenarios.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext d1e4ce2b-43da-4da5-9933-be4bea77c75e

Cited by top-tier papers6

Ask how each one uses it

Builds on13

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines