Matches in SemOpenAlex for { <https://semopenalex.org/work/W2529284836> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2529284836 abstract "Collecting spatial data using laser scanning is developing quickly. Point clouds, which are primary result of laser scanning, are useful for 3D modelling of scanned objects and Earth's surfaces. Because point clouds are useful in numerous fields and provide a large amount of data, there is a need to automatically extract certain features from point clouds. This thesis describes point cloud segmentation using Gaussian sphere. We used this method on actual terrestrial scanned test data. We described the process in steps from obtaining test data to final resultsof segmentation. We focused on three geometrical objects, that are plane, cylinder and cone. We also described basic theory about the Hough transform, binarization and changing test data in discrete form, that were used in the process of segmentation. For processing the test data, we wrote a program in Python. With Python and its add-on libraries we plotted intermediate and final results, which we commented and evaluated. Final thoughts about the described segmentation method are given in conclusion." @default.
- W2529284836 created "2016-10-14" @default.
- W2529284836 creator A5040809057 @default.
- W2529284836 date "2016-09-22" @default.
- W2529284836 modified "2023-09-27" @default.
- W2529284836 title "Point cloud segmentation using Gaussian sphere" @default.
- W2529284836 hasPublicationYear "2016" @default.
- W2529284836 type Work @default.
- W2529284836 sameAs 2529284836 @default.
- W2529284836 citedByCount "0" @default.
- W2529284836 crossrefType "journal-article" @default.
- W2529284836 hasAuthorship W2529284836A5040809057 @default.
- W2529284836 hasConcept C111919701 @default.
- W2529284836 hasConcept C115961682 @default.
- W2529284836 hasConcept C120665830 @default.
- W2529284836 hasConcept C121332964 @default.
- W2529284836 hasConcept C121684516 @default.
- W2529284836 hasConcept C131979681 @default.
- W2529284836 hasConcept C141349535 @default.
- W2529284836 hasConcept C154945302 @default.
- W2529284836 hasConcept C163716315 @default.
- W2529284836 hasConcept C16910744 @default.
- W2529284836 hasConcept C199360897 @default.
- W2529284836 hasConcept C200518788 @default.
- W2529284836 hasConcept C31972630 @default.
- W2529284836 hasConcept C41008148 @default.
- W2529284836 hasConcept C519991488 @default.
- W2529284836 hasConcept C520434653 @default.
- W2529284836 hasConcept C62520636 @default.
- W2529284836 hasConcept C89600930 @default.
- W2529284836 hasConceptScore W2529284836C111919701 @default.
- W2529284836 hasConceptScore W2529284836C115961682 @default.
- W2529284836 hasConceptScore W2529284836C120665830 @default.
- W2529284836 hasConceptScore W2529284836C121332964 @default.
- W2529284836 hasConceptScore W2529284836C121684516 @default.
- W2529284836 hasConceptScore W2529284836C131979681 @default.
- W2529284836 hasConceptScore W2529284836C141349535 @default.
- W2529284836 hasConceptScore W2529284836C154945302 @default.
- W2529284836 hasConceptScore W2529284836C163716315 @default.
- W2529284836 hasConceptScore W2529284836C16910744 @default.
- W2529284836 hasConceptScore W2529284836C199360897 @default.
- W2529284836 hasConceptScore W2529284836C200518788 @default.
- W2529284836 hasConceptScore W2529284836C31972630 @default.
- W2529284836 hasConceptScore W2529284836C41008148 @default.
- W2529284836 hasConceptScore W2529284836C519991488 @default.
- W2529284836 hasConceptScore W2529284836C520434653 @default.
- W2529284836 hasConceptScore W2529284836C62520636 @default.
- W2529284836 hasConceptScore W2529284836C89600930 @default.
- W2529284836 hasLocation W25292848361 @default.
- W2529284836 hasOpenAccess W2529284836 @default.
- W2529284836 hasPrimaryLocation W25292848361 @default.
- W2529284836 hasRelatedWork W1165065214 @default.
- W2529284836 hasRelatedWork W1489435821 @default.
- W2529284836 hasRelatedWork W1510481520 @default.
- W2529284836 hasRelatedWork W157892457 @default.
- W2529284836 hasRelatedWork W1590011117 @default.
- W2529284836 hasRelatedWork W1937348043 @default.
- W2529284836 hasRelatedWork W1994919780 @default.
- W2529284836 hasRelatedWork W2033943689 @default.
- W2529284836 hasRelatedWork W2076001320 @default.
- W2529284836 hasRelatedWork W2083596155 @default.
- W2529284836 hasRelatedWork W2130594731 @default.
- W2529284836 hasRelatedWork W2137436959 @default.
- W2529284836 hasRelatedWork W2144326890 @default.
- W2529284836 hasRelatedWork W2162450071 @default.
- W2529284836 hasRelatedWork W2284195933 @default.
- W2529284836 hasRelatedWork W2790792366 @default.
- W2529284836 hasRelatedWork W2890123950 @default.
- W2529284836 hasRelatedWork W3144887760 @default.
- W2529284836 hasRelatedWork W2120429637 @default.
- W2529284836 hasRelatedWork W2837783112 @default.
- W2529284836 isParatext "false" @default.
- W2529284836 isRetracted "false" @default.
- W2529284836 magId "2529284836" @default.
- W2529284836 workType "article" @default.