Get GigaMesh Software Framework essential facts below. View Videos or join the GigaMesh Software Framework discussion. Add GigaMesh Software Framework to your PopFlock.com topic list for future reference or share this resource on social media.
The name "GigaMesh" refers to processing of large 3D-datasets and relates intentional to the mythical sumerian king Gilgamesh and his heroic epic described on a set of clay tablets. The central element of the logo is the cuneiform sign ? (kaskal) meaning street or road junction, which symbolizes the intersection of the humanities and computer science. The surrounding circle refers to the integral invariant computation using a sphericaldomain. The red color is derived of carmine, the color used by the Heidelberg University, where GigaMesh is developed.
In 2017 GigaMesh was tested by the DAI at an excavation in Guadalupe, near Trujillo, Honduras for immediate visualization of in-situ acquired findings with different 3D-scanners including a comparison with manual drawings. Since then GigaMesh is permanently used by the excavation team. Their feedback lead to numerous improvements of the GUI as well as online tutorials with a focus on tasks required to compile excavation reports.
A first version (190416) for Windows was released in preparation of presentations about new functions shown at the international CAA 2019.
The command line interface of GigaMesh is well suited to process large amounts of 3D-measurement data within repositories. This was demonstrated with almost 2.000 cuneiform tablets of the Hilprecht Collection of the Jena University, which were processed and digitally published as benchmarkdatabase (HeiCuBeDa) for machine learning as well as database of images including 3D- and meta-data (HeiCu3Da) using CC BY licenses.
The Louvre showed GigaMesh based rollouts of an Aryballos from the collection of the KFU Graz representing the use of digital methods for research on pottery of ancient Greece within the CVA project, which had its 100th anniversary in 2019. Renderings of the rollouts were on display in the second half of 2019 in the display case named L'ère du numèrique et de l'imagerie scientifique (the digital era and scientific imaging).
Version 191219 supports Texture maps common for 3D-data captured using photogrammetry. This allows processing and in particular unwrapping of objects acquired with Structure-from-Motion widely used for documentation of Cultural Heritage and in archaeology.
^Hämmerle, Martin; Höfle, Bernhard (2017-12-05), "Introduction to LiDAR in Geoarchaeology from a Technological Perspective", Natural Science in Archaeology, Springer International Publishing, pp. 167-182, doi:10.1007/978-3-319-25316-9_11, ISBN9783319253145
^Reindel, Markus; Fux, Peter; Fecher, Franziska (2018), "Archäologisches Projekt Guadalupe: Bericht über die Feldkampagne 2017", Jahresberichte (in German), Zürich, Switzerland: SLSA, Schweizerisch-Liechtensteinische Stiftung für archäologische Forschungen im Ausland, doi:10.5167/uzh-158145
^Mara, Hubert (2019-06-07), HeiCuBeDa Hilprecht - Heidelberg Cuneiform Benchmark Dataset for the Hilprecht Collection, heiDATA - institutional repository for research data of Heidelberg University, doi:10.11588/data/IE8CCN
^Mara, Hubert (2019-06-07), HeiCu3Da Hilprecht - Heidelberg Cuneiform 3D Database - Hilprecht Collection, heidICON - Die Heidelberger Objekt- und Multimediadatenbank, doi:10.11588/heidicon.hilprecht
^Mara, Hubert; Bogacz, Bartosz (2019), "Breaking the Code on Broken Tablets: The Learning Challenge for Annotated Cuneiform Script in Normalized 2D and 3D Datasets", Proceedings of the 15th International Conference on Document Analysis and Recognition (ICDAR), Sydney, Australia, doi:10.1109/ICDAR.2019.00032