Comparison of 3D Point Cloud Completion Networks for High Altitude Lidar Scans of Buildings - Publikacja - MOST Wiedzy

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Comparison of 3D Point Cloud Completion Networks for High Altitude Lidar Scans of Buildings

Abstrakt

High altitude lidar scans allow for rapid acquisition of big spatial data representing entire city blocks. Unfortunately, the raw point clouds acquired by this method are largely incomplete due to object occlusions and restrictions in scanning angles and sensor resolution, which can negatively affect the obtained results. In recent years, many new solutions for 3D point cloud completion have been created and tested on various objects; however, the application of these methods to high-altitude lidar point clouds of buildings has not been properly investigated yet. In the above context, this paper presents the results of applying several state-of-the-art point cloud completion networks to various building exteriors acquired by simulated airborne laser scanning. Moreover, the output point clouds generated from partial data are compared with complete ground-truth point clouds. The performed tests show that the SeedFormer network trained on the ShapeNet-55 data set provides promising shape completion results.

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Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING nr 90, strony 55 - 64,
ISSN: 0099-1112
Język:
angielski
Rok wydania:
2024
Opis bibliograficzny:
Kulawiak M.: Comparison of 3D Point Cloud Completion Networks for High Altitude Lidar Scans of Buildings// PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING -Vol. 90,iss. 1 (2024), s.55-64
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.14358/pers.23-00056r2
Źródła finansowania:
  • COST_FREE
Weryfikacja:
Politechnika Gdańska

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