Title: | Efficient Removal of Inconsistencies in Large Multi-Scan Point Clouds |
Authors: | Kanzok, Thomas Süß, Falk Linsen, Lars Rosenthal, Paul |
Citation: | WSCG 2013: Communication Papers Proceedings: 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 120-129. |
Issue Date: | 2013 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Communications-proceedings.pdf http://hdl.handle.net/11025/10654 |
ISBN: | 978-80-86943-75-6 |
Keywords: | bodový mrak;zpracování obrazu;laserové skenování |
Keywords in different language: | point cloud;image processing;laser scanning |
Abstract: | When large scale structures are to be digitized using laser scanning, usually multiple scans have to be registered and merged to cover the whole scene. During the scanning process movement in the scene and equipment standing around – which is not always avoidable – may induce artifacts. Since the scans often overlap considerably another scan of the same area might be artifact-free. In this paper we describe an approach to find these "temporal" artifacts (so-called, because they only appear during one single scan) based on shadow mapping, which makes it implementable as a shader program and therefore very fast. The effectiveness of the approach is demonstrated with the help of large-scale real-world data. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2013: Communication Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Kanzok.pdf | Plný text | 4,91 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/10654
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