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用于微观尺度三维表面重建的基于运动的微观结构(SfM)

Microscopic Structure from Motion (SfM) for Microscale 3D Surface Reconstruction.

作者信息

Um Dugan, Lee Sangsoo

机构信息

Mechanical Engineering, Texas A&M-Corpus Christi, Corpus Christi, TX 78412, USA.

Mechanical and Industrial Engineering, Texas A&M University-Kingsville, Kingsville, TX 78363, USA.

出版信息

Sensors (Basel). 2020 Sep 29;20(19):5599. doi: 10.3390/s20195599.

DOI:10.3390/s20195599
PMID:33003630
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7582852/
Abstract

In microscale photogrammetry, the confocal microscopic imaging technique has been the dominant trend. Unlike the confocal imaging mostly for transparent objects, we propose a novel method to construct a 3D shape in microscale for various micro-sized solid objects in a broad spectrµm of applications. Recently, the structure from motion (SfM) demonstrated reliable 3D reconstruction capability for macroscale objects. In this paper, we discuss the results of a novel micro-surface reconstruction method using the Structure from Motion in microscale. The proposed micro SfM technique utilizes the photometric stereovision via microscopic photogrammetry. The main challenges lie in the scanning methodology, ambient light control, and light conditioning for microscale object photography. Experimental results of the microscale SfM, as well as the modeling accuracy analysis of a reconstructed micro-object, are shared in the paper.

摘要

在微观摄影测量中,共聚焦显微镜成像技术一直是主流趋势。与主要用于透明物体的共聚焦成像不同,我们提出了一种新颖的方法,用于在广泛的应用领域中为各种微小尺寸的固体物体构建微观尺度的三维形状。最近,运动结构(SfM)对宏观物体展示出可靠的三维重建能力。在本文中,我们讨论了一种使用微观尺度运动结构的新型微观表面重建方法的结果。所提出的微观SfM技术通过微观摄影测量利用光度立体视觉。主要挑战在于微观物体摄影的扫描方法、环境光控制和光调节。本文分享了微观尺度SfM的实验结果以及重建微观物体的建模精度分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e23f/7582852/f3e727a3db83/sensors-20-05599-g019.jpg
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