In the past decade, optical non-line-of-sight (NLOS) sensing has evolved from a fundamental idea and laboratory proof-of-principle experiment to a more and more mature computational sensing method to obtain information which cannot accessed with conventional optical means. For instance, reconstruction of NLOS scenes has been demonstrated with large round trip path length, outdoors and in real-time. To reach this state of art, various powerful reconstruction algorithms and transient rendering software has been developed. Detailed reconstructions of complex scenarios show the feasibility of this technology to be used in various sensing tasks ranging from military and security operations to civilian search and rescue missions and scientific (e.g. archaeology) and medical sensing tasks. Nevertheless, the sensing and reconstruction limitations are not completely understood. This paper starts to discuss the necessary information to interpret NLOS data sets and reconstructions.
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