Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Automated Digitization of Three-Dimensional Structures Using AprilTag and Solid Geometry-Library in Matlabcitations

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Pancheri, Felix
1 / 1 shared
Rehekampff, Christoph
1 / 7 shared
Lueth, Tim C.
1 / 6 shared
Zhang, Dingzhi
1 / 1 shared
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2023

Co-Authors (by relevance)

  • Pancheri, Felix
  • Rehekampff, Christoph
  • Lueth, Tim C.
  • Zhang, Dingzhi
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article

Automated Digitization of Three-Dimensional Structures Using AprilTag and Solid Geometry-Library in Matlab

  • Pancheri, Felix
  • Sun, Yilun
  • Rehekampff, Christoph
  • Lueth, Tim C.
  • Zhang, Dingzhi
Abstract

<jats:title>Abstract</jats:title><jats:p>The rapid development of digitization and 3D printing is creating an ever-increasing demand for methods for the automated generation of 3D models from real components. Thanks to the progress and widespread use of computer vision, it is now possible to merge classical engineering tasks with image processing techniques. Computer-aided design can therefore be automated using information from image data. In this study, we present a novel method for automated digitization of 3D structures using AprilTag fiducial system and Solid Geometry Library. The proposed design process is implemented in matlab. AprilTags are used to realize 3D coordinate measurements to digitally capture the 3D dimensions of real components. Based on these data, 3D replica models are generated with the Solid Geometry Library toolbox, which enables the automated design of 3D surface models in matlab. The mathematical background of this procedure is described. The capability of the proposed method is demonstrated on 3D structures composed of components with fixed cross sections and fundamental 3D structures such as prisms, cylinders, and spheres. Further improvements in the coordinate measurement process using AprilTag and further implementation in matlab can extend the functionality for the digitization of more complex 3D structures.</jats:p>

Topics
  • impedance spectroscopy
  • surface