3D reconstruction of particle agglomerates using multiple scanning electron microscope stereo-pair images

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dc.identifier.uri http://dx.doi.org/10.15488/10250
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/10323
dc.contributor.author Töberg, Stefan
dc.contributor.author Reithmeier, Eduard
dc.date.accessioned 2020-12-08T15:27:03Z
dc.date.available 2020-12-08T15:27:03Z
dc.date.issued 2018
dc.identifier.citation Töberg, S.; Reithmeier, E.: 3D reconstruction of particle agglomerates using multiple scanning electron microscope stereo-pair images. In: Proceedings of SPIE 10819 (2018), 108190I. DOI: https://doi.org/10.1117/12.2502485
dc.description.abstract Scanning electron microscopes (SEM) allow a detailed surface analysis of a wide variety of specimen. However, SEM image data does not provide depth information about a captured scene. This limitation can be overcome by recovering the hidden third dimension of the acquired SEM micrographs, for instance to fully characterize a particle agglomerate's morphology. In this paper, we present a method that allows the three-dimensional (3D) reconstruction of investigated particle agglomerates using an uncalibrated stereo vision approach that is applied to multiple stereo-pair images. The reconstruction scheme starts with a feature detection and subsequent matching in each pair of stereo images. Based on these correspondences, a robust estimate of the epipolar geometry is determined. A following rectification allows a reduction of the dense correspondence problem to a one-dimensional search along conjugate epipolar lines. So the disparity maps can be obtained using a dense stereo matching algorithm. To remove outliers while preserving edges and individual structures, a disparity refinement is executed using suitable image filtering techniques. The investigated specimen's qualitative depth's information can be directly calculated from the determined disparity maps. In a final step the resulting point clouds are registered. State-of-the-art algorithms for 3D reconstruction of SEM micrographs mainly focus on structures whose image pairs contain hardly or even none-occluded areas. The acquisition of multiple stereo-pair images from different perspectives makes it possible to combine the obtained point clouds in order to overcome occurring occlusions. The presented approach thereby enables the 3D illustration of the investigated particle agglomerates. © 2018 SPIE. eng
dc.language.iso eng
dc.publisher Bellingham : SPIE
dc.relation.ispartofseries Proceedings of SPIE 10819 (2018)
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
dc.subject Dense matching eng
dc.subject Multiple stereo-pair images eng
dc.subject Point cloud registration eng
dc.subject Scanning electron microscopy eng
dc.subject Uncalibrated 3D reconstruction eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.title 3D reconstruction of particle agglomerates using multiple scanning electron microscope stereo-pair images eng
dc.type conferenceObject
dc.type article
dc.type Text
dc.relation.doi https://doi.org/10.1117/12.2502485
dc.bibliographicCitation.volume 10819
dc.bibliographicCitation.firstPage 108190I
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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