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Feature selection and back-projection algorithms for nonline-of-sight laser–gated viewing

[+] Author Affiliations
Martin Laurenzis

French-German Research Institute of Saint-Louis, Advanced Visionics and Processing, 5 Rue du General Cassagnou, 68301 Saint-Louis, France

Andreas Velten

University of Wisconsin, Laboratory for Optical and Computational Instrumentation, 1675 Observatory Drive, Madison, Wisconsin 53706, United States

Morgridge Institute for Research, 330 North Orchard Street, Madison, Wisconsin 53715, United States

J. Electron. Imaging. 23(6), 063003 (Nov 03, 2014). doi:10.1117/1.JEI.23.6.063003
History: Received July 7, 2014; Revised September 11, 2014; Accepted October 7, 2014
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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 application were studied with the aim of identifying and selecting signals from different target positions. A slight modification 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.

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Citation

Martin Laurenzis and Andreas Velten
"Feature selection and back-projection algorithms for nonline-of-sight laser–gated viewing", J. Electron. Imaging. 23(6), 063003 (Nov 03, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.6.063003


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