Saliency-Aware Privacy Protection in Augmented Reality Systems
PROCEEDINGS OF THE FIRST WORKSHOP ON METAVERSE SYSTEMS AND APPLICATIONS, METASYS 2023(2023)
摘要
The augmented reality (AR) Metaverse environment combines the physical and virtual world together. Privacy is a major concern in AR since the cameras use to capture the physical world can also capture other images that may potentially violate user or by-stander privacy. Advances in deep learning to process images and videos have exacerbated such privacy risks. This paper presents a new technique to protect privacy in AR systems by combining the idea of visual saliency together with privacy-sensitive object detection. We show that our technique is able to provide additional context to a given image to better balance between privacy and overall usability of the system.
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关键词
privacy protection,deep learning,visual saliency
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