Abstract
A sophisticated combination of noise reducing, segmentation and mesh generation methods provides the reconstruction of the surface morphology from three dimensional computed tomography scans of archaeological data as triangular surface meshes. The highly parallelized GPU-enabled implementation of the algorithm processes large data sets in only a few minutes, allowing the systematic reconstruction of various objects. Rendering of the generated triangular meshes and the calculation of the surface area and the volume of the reconstructed items or selected parts of interest, can be done in real time. Those items can also be exchanged by scientists around the world and can be investigated without manipulating the irreplaceable artifacts. The application of computed tomography and the development of archaeological adjusted post processing of the acquired volumetric data enable a non-destructive investigation of the entire object regarding shape, manufacturing techniques or material textures. The reconstructions can also serve as a basis for virtual exhibitions.
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Acknowledgements
The research was partially supported by a grant of the Styrian government (Department 3 – science and research) and the Excellency Initiative of Heidelberg University. Thanks are due to Georg Geier, Daniel Habe and Jordis-Brit Rosc of the Austrian Foundry Research Institute at Leoben for their obliging help in course of the project. We also thank Sebastian Reiter for implementing the Hoppe mesh optimization algorithm.
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Jungblut, D., Karl, S., Mara, H., Krömker, S., Wittum, G. (2013). Automated GPU-Based Surface Morphology Reconstruction of Volume Data for Archaeology. In: Bock, H., Jäger, W., Winckler, M. (eds) Scientific Computing and Cultural Heritage. Contributions in Mathematical and Computational Sciences, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28021-4_5
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DOI: https://doi.org/10.1007/978-3-642-28021-4_5
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