Compact single-shot ranging and near-far imaging using metasurfaces

Fuente: arXiv
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Auteurs principaux: Luo, Junjie, Liu, Yuxuan, Chen, Wei Ting, Wang, Qing, Guo, Qi
Format: Preprint
Publié: 2026
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author Luo, Junjie
Liu, Yuxuan
Chen, Wei Ting
Wang, Qing
Guo, Qi
author_facet Luo, Junjie
Liu, Yuxuan
Chen, Wei Ting
Wang, Qing
Guo, Qi
contents We present a metasurface imaging system capable of simultaneously capturing two images at close range (1-2~cm) and an additional image at long range (about 40~cm) on a shared photosensor. The close-range image pair focuses at 1.4~cm and 2.0~cm, respectively, which forms a focal stack, enabling passive ranging with an accuracy of $\pm$1~mm from 12~mm to 20~mm through a computationally efficient depth-from-defocus algorithm for a simplified scenario. The entire system is compact, with a total track length of 15~mm, making it suitable for seamless integration into edge platforms for defense and other resource-constrained applications.
format Preprint
id arxiv_https___arxiv_org_abs_2604_10037
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Compact single-shot ranging and near-far imaging using metasurfaces
Luo, Junjie
Liu, Yuxuan
Chen, Wei Ting
Wang, Qing
Guo, Qi
Image and Video Processing
Computer Vision and Pattern Recognition
We present a metasurface imaging system capable of simultaneously capturing two images at close range (1-2~cm) and an additional image at long range (about 40~cm) on a shared photosensor. The close-range image pair focuses at 1.4~cm and 2.0~cm, respectively, which forms a focal stack, enabling passive ranging with an accuracy of $\pm$1~mm from 12~mm to 20~mm through a computationally efficient depth-from-defocus algorithm for a simplified scenario. The entire system is compact, with a total track length of 15~mm, making it suitable for seamless integration into edge platforms for defense and other resource-constrained applications.
title Compact single-shot ranging and near-far imaging using metasurfaces
topic Image and Video Processing
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2604.10037