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户外条件下的单像素近红外三维图像重建

Single-Pixel Near-Infrared 3D Image Reconstruction in Outdoor Conditions.

作者信息

Osorio Quero C, Durini D, Rangel-Magdaleno J, Martinez-Carranza J, Ramos-Garcia R

机构信息

Electronics Department, Instituto Nacional de Astrofísica, Óptica y Electrónica-INAOE, Calle Luis Enrique Erro 1, Puebla 72840, Mexico.

Computer Science Department, Instituto Nacional de Astrofísica, Óptica y Electrónica-INAOE, Calle Luis Enrique Erro 1, Puebla 72840, Mexico.

出版信息

Micromachines (Basel). 2022 May 20;13(5):795. doi: 10.3390/mi13050795.

DOI:10.3390/mi13050795
PMID:35630262
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9145037/
Abstract

In the last decade, the vision systems have improved their capabilities to capture 3D images in bad weather scenarios. Currently, there exist several techniques for image acquisition in foggy or rainy scenarios that use infrared (IR) sensors. Due to the reduced light scattering at the IR spectra it is possible to discriminate the objects in a scene compared with the images obtained in the visible spectrum. Therefore, in this work, we proposed 3D image generation in foggy conditions using the single-pixel imaging (SPI) active illumination approach in combination with the Time-of-Flight technique (ToF) at 1550 nm wavelength. For the generation of 3D images, we make use of space-filling projection with compressed sensing (CS-SRCNN) and depth information based on ToF. To evaluate the performance, the vision system included a designed test chamber to simulate different fog and background illumination environments and calculate the parameters related to image quality.

摘要

在过去十年中，视觉系统已提升了在恶劣天气场景下捕捉3D图像的能力。目前，存在多种在雾天或雨天场景中使用红外（IR）传感器进行图像采集的技术。由于红外光谱处的光散射减少，与在可见光谱中获得的图像相比，能够辨别场景中的物体。因此，在这项工作中，我们提出了在雾天条件下使用单像素成像（SPI）主动照明方法并结合1550纳米波长的飞行时间技术（ToF）来生成3D图像。为了生成3D图像，我们利用具有压缩感知的空间填充投影（CS-SRCNN）和基于ToF的深度信息。为了评估性能，视觉系统包括一个设计的测试腔室，以模拟不同的雾和背景照明环境，并计算与图像质量相关的参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/b5cc4479998f/micromachines-13-00795-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/e4e4d2114802/micromachines-13-00795-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/fcbb2f9a3ef4/micromachines-13-00795-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/fede63a82714/micromachines-13-00795-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/fa5e20c548e6/micromachines-13-00795-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/3a1eb66eb14e/micromachines-13-00795-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/b5cc4479998f/micromachines-13-00795-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/e4e4d2114802/micromachines-13-00795-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/85cd6504eba3/micromachines-13-00795-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/361945e38bdc/micromachines-13-00795-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/0bb7e6126961/micromachines-13-00795-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/d941e39f4bbd/micromachines-13-00795-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/fcbb2f9a3ef4/micromachines-13-00795-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/fede63a82714/micromachines-13-00795-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/fa5e20c548e6/micromachines-13-00795-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/a21606668f08/micromachines-13-00795-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/fd9e0a5d958f/micromachines-13-00795-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/3a1eb66eb14e/micromachines-13-00795-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82ce/9145037/b5cc4479998f/micromachines-13-00795-g008.jpg

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本文引用的文献

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Using Virtual Scanning to Find Optimal Configuration of a 3D Scanner Turntable for Scanning of Mechanical Parts.使用虚拟扫描寻找机械零件 3D 扫描仪转台的最佳配置
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