Single-shot 3D reconstruction imaging approach based on polarization properties of reflection lights

Ma, Feiya; Wang, Fang; Yang, Rui; Liang, Jian; Ren, Liyong

doi:10.1117/12.2602809

Cited by 3 publications

(1 citation statement)

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“…The inherent trade-off between angular and spatial resolution remains unresolved without the introduction of additional information or techniques [10][11][12] . As another dimension of light field information, polarization has demonstrated its potential for integration with other 3D imaging techniques in terms of obtaining finer 3D reconstructions results [13][14][15][16] . Unfortunately, this aspect has received limited attention and is ignored in LFM.…”

Section: 、Introductionmentioning

confidence: 99%

Resolution enhancement for light field microscopic 3D imaging based on polarization and data fusion

Shi,

Kong

2023

AOPC 2023: Computing Imaging Technology

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Light field microscopy (LFM) is an emerging three-dimensional (3D) imaging technology that simultaneously captures both spatial and angular information of the incident light by placing a micro lens array (MLA) in front of an imaging sensor, enabling computational reconstruction of the full 3D volume of a specimen via a single camera frame or single shot imaging. Unlike other 3D imaging techniques that acquire spatial information sequentially or through scanning, LFM four-dimensional (4D) imaging scheme effectively frees volume acquisition time from spatial scales and easy to miniaturize, thus making LFM a highly scalable tool in diverse applications. However, its broad application has slowed down due to the low resolution of the limited angular and spatial information in one snapshot of captured image, the inhomogeneous resolution of reconstructed depth images, and the lack of lateral shift invariance, which greatly degrades the spatial resolution, causing grid-like artifacts and great computational complexity. The introduction of Fourier light field microscopy (FLFM) provides a promising path to improve the current LFM techniques and achieve high-quality imaging and rapid light field reconstruction. However, the inherent trade-off between the angular and spatial resolution is still not fundamentally resolved without the introduction of additional information. Polarization, another dimension of light field information, has been shown to integrate well with other 3D imaging techniques to obtain finer 3D reconstructions results. Unfortunately, this aspect has seldom received attention and is ignored in LFM.This paper presents a resolution enhancement scheme for Fourier light field microscopy system that utilizes polarization norms and light field point cloud data fusion to generate improved imaging resolution and 3D reconstruction accuracy. Different from conventional FLFM, this approach actively introduces additional surface polarization information of the sample into the reconstruction of 3D volume information. A universal polarization-integrated FLFM configuration is designed and built up, allowing polarization and light field data to be acquired simultaneously using the same set of optical paths. A mathematical model is derived to describe the mapping and fusion of the polarization norms and light field point cloud data. Simulation studies show that the resolution and accuracy of the 3D reconstruction of the proposed FLFM imaging system are significantly improved after incorporating the polarization information, confirming the validity of the proposed methods. Finally, the implications of this approach for FLM are discussed, providing guidance for future experiments and applications. The resolution enhancement approach based on polarization and data fusion provides a feasible solution to the contradiction between lateral resolution and vertical resolution, and further improve the resolution of the FLFM imaging system.

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Section: 、Introductionmentioning

confidence: 99%

Resolution enhancement for light field microscopic 3D imaging based on polarization and data fusion

Shi,

Kong

2023

AOPC 2023: Computing Imaging Technology

View full text Add to dashboard Cite

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Optical image inspection of helical surface geometry of drill

Pivkin

Гречишников

Ershov

et al. 2022

Image Sensing Technologies: Materials, Devices, Systems, and Applications IX

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Measurement technology based on a Stokes parametric polarization system

Zhu,

Qiu,

Long

et al. 2024

Appl. Opt.

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Structured light measurement systems often use polarization filters to reduce image interference from highly reflective areas. This method can be effective, but it may also reduce the brightness of specific areas, particularly overly dark portions, which can affect the accuracy of the measurement results. This paper proposes a measurement method for a polarization system based on Stokes parameters to solve the problem. After adjusting the polarization filter to angles of 0°, 45°, and 90°, the camera captures an image of the object and calculates the corresponding Stokes parameters to generate the expected polarization angle histogram. Then, based on the detailed information on the angle distribution, the accurate mathematical model is used to screen the interval, and the optimal polarization angle is determined by orthogonal processing while ensuring the signal-to-noise ratio and image quality. Finally, an image fusion technology synthesizes a set of fringe projection images with the preferred polarization angles. Experiments have shown that this new method effectively addresses the issue of interference in the highlighted region when using conventional polarization filters. Additionally, it significantly improves the quality of the fringe pattern. The polarization angle selection in the experimental process is made more rapid and accurate through the quantitative mathematical model calculation of the polarization angle, significantly improving the system’s measurement efficiency.

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Single-shot 3D reconstruction imaging approach based on polarization properties of reflection lights

Cited by 3 publications

References 0 publications

Resolution enhancement for light field microscopic 3D imaging based on polarization and data fusion

Resolution enhancement for light field microscopic 3D imaging based on polarization and data fusion

Optical image inspection of helical surface geometry of drill

Measurement technology based on a Stokes parametric polarization system

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