Microscopic structure from motion (SfM) for microscale 3D surface reconstruction

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dc.contributor.authorUm, Dugan
dc.contributor.authorLee, Sangsoo
dc.date.accessioned2021-10-21T16:16:32Z
dc.date.available2021-10-21T16:16:32Z
dc.date.issued2020-09-29
dc.description.abstractIn 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.en_US
dc.description.abstractIn 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.
dc.identifier.citationUm, Dugan, and Sangsoo Lee. "Microscopic structure from motion (SFM) for microscale 3d surface reconstruction." Sensors 20.19 (2020): 5599.en_US
dc.identifier.citationUm, Dugan, and Sangsoo Lee. "Microscopic structure from motion (SFM) for microscale 3d surface reconstruction." Sensors 20.19 (2020): 5599.
dc.identifier.doihttps://doi.org/10.3390/s20195599
dc.identifier.urihttps://hdl.handle.net/1969.6/89847
dc.language.isoen_USen_US
dc.language.isoen_US
dc.publisherMDPIen_US
dc.publisherMDPI
dc.rightsAttribution 4.0 International*
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectmicro 3d imagingen_US
dc.subject3d depth sensoren_US
dc.subject3d shape reconstructionen_US
dc.subjectphotometric stereoen_US
dc.subjectmicro 3d imaging
dc.subject3d depth sensor
dc.subject3d shape reconstruction
dc.subjectphotometric stereo
dc.titleMicroscopic structure from motion (SfM) for microscale 3D surface reconstructionen_US
dc.titleMicroscopic structure from motion (SfM) for microscale 3D surface reconstruction
dc.typeArticleen_US
dc.typeArticle

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