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DATA PROCESSING METHODOLOGY IN THE CONTEXT OF POINT CLOUDS OPTIMIZATION FOR BIM TECHNOLOGY
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Wioleta Blaszczak Bak; Czeslaw Suchocki; Michal Bednarczyk
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10.5593/sgem2022/2.1/s08.14
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10.5593/sgem2022/2.1
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1314-2704
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978-619-7603-40-8
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English
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22
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2.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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Geoinformatics
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Laser scanning can be used to acquire measurement data for Building Information Modeling (BIM). Terrestrial Laser Scanning (TLS) technology is ideal for this type of work. Having a point cloud of the measured object, dimension and model it in accordance with reality are possible. TLS gives the opportunity to obtain a big amount of observations, which on the one hand allows for an accurate depiction of the object, but on the other hand is troublesome during BIM developing. Therefore, the paper presents the methodology of preparing the TLS point cloud for BIM, taking into account the reduction of the number of observations. The reduction does not happen random, the points are examined for their usefulness and relevance during the development of BIM. The proposed methodology based on the use of the Optimum Dataset (OptD) method during reducing the size of the measurement dataset.
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laser scanning, reduction, optimization of point clouds
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conference
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
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22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
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115-122
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04 - 10 July, 2022
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website
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8481
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