DEVELOPMENT OF ALGORITHMS FOR POINT CLOUD FILTRATION
(STEF92 Technology, 2022-11-15, Richard Honti, Ján Erdélyi, Alojz Kopáčik)
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Today, point clouds are becoming an increasingly common digital representation of realworld objects. However, the raw point clouds obtained by terrestrial laser scanning (or other methods, e. g., photogrammetry or low-cost sensors) are often noisy with many outliers. Thus, it is necessary to remove the noise and outliers from the point clouds before further processing while preserving the elements of the measured objects in high detail. Moreover, in the case of model creation from point clouds using basic geometri...
