3D registration of depth data of porous surface coatings based on 3D phase correlation and the trimmed ICP algorithm

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dc.identifier.uri http://dx.doi.org/10.15488/2524
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/2550
dc.contributor.author Loftfield, Nina
dc.contributor.author Kästner, Markus
dc.contributor.author Reithmeier, Eduard
dc.date.accessioned 2017-11-29T13:05:16Z
dc.date.available 2017-11-29T13:05:16Z
dc.date.issued 2017
dc.identifier.citation Loftfield, N.; Kästner, M.; Reithmeier, E.: 3D registration of depth data of porous surface coatings based on 3D phase correlation and the trimmed ICP algorithm. In: Proceedings of SPIE - The International Society for Optical Engineering 10333 (2017), 1033310. DOI: https://doi.org/10.1117/12.2269781
dc.description.abstract A critical factor of endoprostheses is the quality of the tribological pairing. The objective of this research project is to manufacture stochastically porous aluminum oxide surface coatings with high wear resistance and an active friction minimization. There are many experimental and computational techniques from mercury porosimetry to imaging methods for studying porous materials, however, the characterization of disordered pore networks is still a great challenge. To meet this challenge it is striven to gain a three dimensional high resolution reconstruction of the surface. In this work, the reconstruction is approached by repeatedly milling down the surface by a fixed decrement while measuring each layer using a confocal laser scanning microscope (CLSM). The so acquired depth data of the successive layers is then registered pairwise. Within this work a direct registration approach is deployed and implemented in two steps, a coarse and a fine alignment. The coarse alignment of the depth data is limited to a translational shift which occurs in horizontal direction due to placing the sample in turns under the CLSM and the milling machine and in vertical direction due to the milling process itself. The shift is determined by an approach utilizing 3D phase correlation. The fine alignment is implemented by the Trimmed Iterative Closest Point algorithm, matching the most likely common pixels roughly specified by an estimated overlap rate. With the presented two-step approach a proper 3D registration of the successive depth data of the layer is obtained. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. eng
dc.language.iso eng
dc.publisher Bellingham, WA : S P I E - International Society for Optical Engineering
dc.relation.ispartof Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III, June 27-28 2017, Munich, Germany
dc.relation.ispartofseries Proceedings of SPIE 10333 (2017)
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 3D phase correlation eng
dc.subject 3D registration eng
dc.subject porous surface eng
dc.subject TrICP eng
dc.subject Aluminum coatings eng
dc.subject Capillary flow eng
dc.subject Characterization eng
dc.subject Coatings eng
dc.subject Image registration eng
dc.subject Iterative methods eng
dc.subject Milling (machining) eng
dc.subject Porous materials eng
dc.subject Wear resistance eng
dc.subject 3D registration eng
dc.subject Computational technique eng
dc.subject Confocal laser scanning microscope eng
dc.subject High-resolution reconstruction eng
dc.subject Iterative closest point algorithm eng
dc.subject Phase correlation eng
dc.subject Porous surface eng
dc.subject TrICP eng
dc.subject Surface reconstruction eng
dc.subject.ddc 530 | Physik ger
dc.title 3D registration of depth data of porous surface coatings based on 3D phase correlation and the trimmed ICP algorithm
dc.type article
dc.type Text
dc.relation.issn 0277-786X
dc.relation.doi https://doi.org/10.1117/12.2269781
dc.bibliographicCitation.volume 10333
dc.bibliographicCitation.firstPage 1033310
dc.description.version publishedVersion
tib.accessRights frei zug�nglich

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