Automated GPU-based surface morphology reconstruction of volume data for archaeology
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 th...
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| Main Authors: | , , |
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| Format: | Chapter/Article |
| Language: | English |
| Published: |
2013
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| In: |
Scientific computing and cultural heritage
Year: 2013, Pages: 41-49 |
| DOI: | 10.1007/978-3-642-28021-4_5 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1007/978-3-642-28021-4_5
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| Author Notes: | Daniel Jungblut, Stephan Karl, Hubert Mara, Susanne Krömker and Gabriel Wittum |
| Summary: | 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. |
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| Item Description: | First online: 25 April 2012 Gesehen am 09.03.2018 |
| Physical Description: | Online Resource |
| ISBN: | 9783642280214 |
| DOI: | 10.1007/978-3-642-28021-4_5 |