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
URI: http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Communications-proceedings.pdf
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

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10654

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