Inpainting occlusion holes in 3d built environment point clouds

P. Väänänen, V. Lehtola

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
91 Downloads (Pure)


Point clouds obtained from mobile and terrestrial laser scanning are imperfect as data is typically missing due to occlusions. This problem is often encountered in 3D reconstruction and is especially troublesome for 3D visualization applications. The missing data may be recovered by intensifying the scanning mission, which may be expensive, or to some extent, by computational means. Here, we present an inpainting technique that covers these occlusion holes in 3D built environment point clouds. The proposed technique uses two neural networks with an identical architecture, applied separately for geometry and colors.
Original languageEnglish
Title of host publicationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publication6th International Workshop LowCost 3D – Sensors, Algorithms, Applications,
EditorsP. Grussenmeyer, A. Murtiyoso, H. Macher, R. Assi
Place of PublicationStrasbourg
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Number of pages6
Publication statusPublished - 29 Nov 2019
Event6th International Workshop LowCost 3D 2019: Sensors, Algorithms, Applications - Strasbourg, France
Duration: 2 Dec 20193 Dec 2019
Conference number: 6

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN (Print)2194-9034


Workshop6th International Workshop LowCost 3D 2019
Internet address




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