Abstract

A computational imager combining ideas from correlography and phase retrieval is used to recover images of non-line-of-sight (NLoS) objects. It exploits the intrinsic roughness of real-world surfaces to indirectly illuminate NLoS objects and intercept the return.

© 2018 The Author(s)

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