Optical Brewster interfaces enabled object identification and 3D reconstruction

Efficient and accurate object identification and 3D reconstruction are crucial for processing image information in visual imaging. Here, we propose a novel scheme for all-optical 2D contour identification and 3D reconstruction based on optical Brewster interfaces. It is revealed that 2D amplitude and phase contours for high-contrast and low-contrast objects can be identified, which is attributed to the 1D and 2D light fields manipulated by the photonic spin Hall and the Brewster effects. The 3D model can be reconstructed by rotating or slicing the high-contrast objects and by inverting the thickness of the low-contrast objects. The study potentially opens up opportunities in applications such as intelligent driving and microscopic imaging.

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Publication Details

Journal
APL Photonics
Published
2024-11-01
DOI
https://doi.org/10.1063/5.0223545
Citations
1
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
0.51

Funders

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Optical Brewster interfaces enabled object identification and 3D reconstruction

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APL Photonics
Advanced Optical Sensing Technologies
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article

Optical Brewster interfaces enabled object identification and 3D reconstruction

Ting Jiang, Zhaoming Luo, Zhaoxin Wen, Zhuolang Liao, Dingyu Xu, Yong Zhang
article en
1 citations

Abstract

Efficient and accurate object identification and 3D reconstruction are crucial for processing image information in visual imaging. Here, we propose a novel scheme for all-optical 2D contour identification and 3D reconstruction based on optical Brewster interfaces. It is revealed that 2D amplitude and phase contours for high-contrast and low-contrast objects can be identified, which is attributed to the 1D and 2D light fields manipulated by the photonic spin Hall and the Brewster effects. The 3D model can be reconstructed by rotating or slicing the high-contrast objects and by inverting the thickness of the low-contrast objects. The study potentially opens up opportunities in applications such as intelligent driving and microscopic imaging.

APL PhotonicsVol. 9(11)
Hunan Institute of Science and Technology (CN)
National Natural Science Foundation of China, Science and Technology Program of Hunan Province
Sustainable cities and communities
Openalex Percentile: Top 25%
Advanced Optical Sensing Technologies
0.51
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