Removing wall redundancy in non-line-of-sight object-tracking using neuromorphic imaging

Shuo Zhu; Shuo Zhu; Zhou Ge; Chutian Wang; Jing Han; Edmund Y. Lam

doi:10.1364/COSI.2023.CTu2B.6

Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP)
Technical Digest Series (Optica Publishing Group, 2023),
paper CTu2B.6
•https://doi.org/10.1364/COSI.2023.CTu2B.6

Removing wall redundancy in non-line-of-sight object-tracking using neuromorphic imaging

Shuo Zhu, Zhou Ge, Chutian Wang, Jing Han, and Edmund Y. Lam

Computational Optical Sensing and Imaging 2023

Boston, Massachusetts United States
14–17 August 2023
ISBN: 978-1-957171-28-9

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Neuromorphic Sensing (CTu2B)

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S. Zhu, Z. Ge, C. Wang, J. Han, and E. Y. Lam, "Removing wall redundancy in non-line-of-sight object-tracking using neuromorphic imaging," in Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), Technical Digest Series (Optica Publishing Group, 2023), paper CTu2B.6.

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Abstract

It is crucial to consider the influence of the relay wall in intensity-based non-line-of-sight (NLOS) imaging applications. In this work, we propose a neuromorphic imaging technique for NLOS object-tracking that is unaffected by the relay surface.

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