Resource-Efficient and Privacy-Preserving Edge for Augmented Reality

Tian Guo · 2023

This position paper describes three directions to support network-enabled, interactive, DL-powered augmented reality experience. The discussion is based on a generic sensing-understanding-rendering pipeline. This paper envisions a platform called SpeAR, encompassing all the proposed techniques, that can support multi-user AR experience in a resource-efficient and privacy-preserving manner.

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