Three-dimensional optical sensing and computational reconstruction combining integral imaging and axially distributed sensing

Nathan Green; Lucas Slomski; Xin Shen

doi:10.1117/12.3013023

7 June 2024 Three-dimensional optical sensing and computational reconstruction combining integral imaging and axially distributed sensing

Nathan Green, Lucas Slomski, Xin Shen

Author Affiliations +

Proceedings Volume 13041, Three-Dimensional Imaging, Visualization, and Display 2024; 130410E (2024) https://doi.org/10.1117/12.3013023
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

In this undergraduate research work, we studied 3D optical sensing and volumetric computational reconstruction algorithm based on conventional integral imaging and axially distributed sensing architectures. Imaging sensors are distributed along x-y-z dimensions for multi-perspective sensing, corresponding reconstruction algorithms are developed for volumetric visualization. Experiments were conducted to verify the feasibility of 3D sensing system and developed algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Nathan Green, Lucas Slomski, and Xin Shen "Three-dimensional optical sensing and computational reconstruction combining integral imaging and axially distributed sensing", Proc. SPIE 13041, Three-Dimensional Imaging, Visualization, and Display 2024, 130410E (7 June 2024); https://doi.org/10.1117/12.3013023

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