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Seeing around corners with edge-resolved transient imaging

Abstract : Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in autonomous navigation, reconnaissance, and even medical imaging. The critical challenge of NLOS imaging is that diffuse reflections scatter light in all directions, resulting in weak signals and a loss of directional information. To address this problem, we propose a method for seeing around corners that derives angular resolution from vertical edges and longitudinal resolution from the temporal response to a pulsed light source. We introduce an acquisition strategy, scene response model, and reconstruction algorithm that enable the formation of 2.5-dimensional representations-a plan view plus heights-and a 180 ∘ field of view for large-scale scenes. Our experiments demonstrate accurate reconstructions of hidden rooms up to 3 meters in each dimension despite a small scan aperture (1.5-centimeter radius) and only 45 measurement locations.
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Contributor : Jean-Yves Tourneret Connect in order to contact the contributor
Submitted on : Tuesday, May 25, 2021 - 5:31:23 PM
Last modification on : Wednesday, November 3, 2021 - 7:16:49 AM
Long-term archiving on: : Thursday, August 26, 2021 - 8:48:51 PM


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Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, et al.. Seeing around corners with edge-resolved transient imaging. Nature Communications, Nature Publishing Group, 2020, 11 (article number 5929), ⟨10.1038/s41467-020-19727-4⟩. ⟨hal-03235401⟩



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