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Projection of LiDAR Point Cloud Slices to Raster Images as 3D Modelling Underlays

Citace:
POLCAR, J., GREGOR, M., HOŘEJŠÍ, P., KOPEČEK, P. Projection of LiDAR Point Cloud Slices to Raster Images as 3D Modelling Underlays. In Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth. Madrid: International Business Information Management Association, 2015. s. 2220-2226. ISBN: 978-0-9860419-5-2
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: eng
Anglický název: Projection of LiDAR Point Cloud Slices to Raster Images as 3D Modelling Underlays
Rok vydání: 2015
Místo konání: Madrid
Název zdroje: International Business Information Management Association
Autoři: Ing. Jiří Polcar , Ing. Michal Gregor , Ing. Petr Hořejší Ph.D. , Doc. Ing. Pavel Kopeček CSc.
Abstrakt EN: This paper suggests a new algorithm for LiDAR point cloud processing into raster images. The inputis a point cloud file in a standard ASCII format, the outputs are orthographic projected points in araster image, which can be used as a 3D modelling underlay. The CloudSlicer, a program powered bythis algorithm, has been developed for validation purposes. The suggested algorithm has beensuccessfully validated for more practical projects. This paper also shows some examples of practicaluses. Such a method was firstly intended to be used as a foundation stone for production systemslayout design, but the CloudSlicer software has been proven to be suitable as a general 3D modellingsupport tool.
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