Towards an automated true color projection onto adaptively reduced point data from 3D surface scans
3D surface scanners can only record discrete data sets (point clouds). The meshing process is a complex issue and in the last years there were lots of algorithms developed to solve this problem. In this work an algorithm will be presented, which generates a textured regular surface model from arbitr...
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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: 21-29 |
| DOI: | 10.1007/978-3-642-28021-4_3 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1007/978-3-642-28021-4_3
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| Author Notes: | Christoph Hoppe and Susanne Krömker |
| Summary: | 3D surface scanners can only record discrete data sets (point clouds). The meshing process is a complex issue and in the last years there were lots of algorithms developed to solve this problem. In this work an algorithm will be presented, which generates a textured regular surface model from arbitrary scattered 3D scan data. |
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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_3 |