Abstract
We discuss new approaches to analyze laser-gated viewing data for nonline-of-sight vision with a frame-to-frame back-projection as well as feature selection algorithms. Although first back-projection approaches use time transients for each pixel, our method has the ability to calculate the projection of imaging data on the voxel space for each frame. Further, different data analysis algorithms and their sequential appli- cation were studied with the aim of identifying and selecting signals from different target positions. A slight modi- fication of commonly used filters leads to a powerful selection of local maximum values. It is demonstrated that the choice of the filter has an impact on the selectivity i.e., multiple target detection as well as on the localization precision. © 2014 SPIE and IS&T (DOI: 10.1117/1.JEI.23.6.063003)
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