Starten Sie Ihre Suche...


Durch die Nutzung unserer Webseite erklären Sie sich damit einverstanden, dass wir Cookies verwenden. Weitere Informationen

Annotated 3D-Models of Cuneiform Tablets

Journal of Open Archaeology Data. Bd. 10. Ubiquity Press, Ltd. 2022 4

Erscheinungsjahr: 2022

ISBN/ISSN: 2049-1565

Publikationstyp: Zeitschriftenaufsatz

Sprache: Deutsch

Doi/URN: 10.5334/joad.92

GeprüftBibliothek

Inhaltszusammenfassung


The dataset consists of 3D scans of one cuneiform tablet from Haft Tappeh Iran and one cuneiform tablet of the Hilprecht Collection as well as 3D annotations on these 3D meshes, including metadata. The 3D annotations were created with the annotation software Annotorious on 2D renderings and reprojected to the original 3D model. The respective 2D renderings and annotations in 2D are also part of this data publication. The annotations might be used in machine learning tasks for character recogn...The dataset consists of 3D scans of one cuneiform tablet from Haft Tappeh Iran and one cuneiform tablet of the Hilprecht Collection as well as 3D annotations on these 3D meshes, including metadata. The 3D annotations were created with the annotation software Annotorious on 2D renderings and reprojected to the original 3D model. The respective 2D renderings and annotations in 2D are also part of this data publication. The annotations might be used in machine learning tasks for character recognition, linguistic studies, or visualization in Assyriology. We publish these data in different formats and give guidance on how to use them in different usage scenarios and with several software applications. The data serve as the basis for a detailed description, reasoning, and elaboration of a recommendation for the state-of-the-art handling of 3D data in cuneiform research. The data is stored as an archive on Zenodo and may serve as an example for replication by similar 3D scanning.» weiterlesen» einklappen

  • Assyriology
  • 3D data
  • cuneiform studies
  • 3D annotation
  • character recognition

Autoren


Zwick, Robert (Autor)
Mara, Hubert (Autor)

Klassifikation


DFG Fachgebiet:
Alte Kulturen

DDC Sachgruppe:
Informatik

Verbundene Forschungsprojekte


Verknüpfte Personen