Three‐dimensional visualization and identification of objects in photon starved scenes using statistical estimation

In this invited talk, we present an overview of three‐dimensional (3D) object recognition and reconstruction in photon starved scenes. The passive sensing is performed using multi view photon counting imaging. Both Maximum Likelihood Estimation (MLE) and Bayesian methods will be discussed to reconstruct 3D images from photon counting images. Object recognition using a variety of statistical approaches will be presented.

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