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Ghost imaging with the human eye
Computational ghost imaging relies on the decomposition of an image into patterns that are summed together with weights that measure the overlap of each pattern with the scene being imaged.
Neural network identification of people hidden from view with a single-pixel, single-photon detector
Light scattered from multiple surfaces can be used to retrieve information of hidden environments.
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