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Journal of Electronic Imaging

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

Paper Details

Date Published: 3 November 2014
PDF: 6 pages
J. Electron. Imaging. 23(6) 063003 doi: 10.1117/1.JEI.23.6.063003
Published in: Journal of Electronic Imaging Volume 23, Issue 6
Show Author Affiliations
Martin Laurenzis, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Andreas Velten, Univ. of Wisconsin-Madison (United States)
Morgridge Institute for Research (United States)


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