Abstract
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 language | English |
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| Title of host publication | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Subtitle of host publication | 6th International Workshop LowCost 3D – Sensors, Algorithms, Applications, |
| Editors | P. Grussenmeyer, A. Murtiyoso, H. Macher, R. Assi |
| Place of Publication | Strasbourg |
| Publisher | International Society for Photogrammetry and Remote Sensing (ISPRS) |
| Pages | 393-398 |
| Number of pages | 6 |
| Volume | XLII-2/W17 |
| DOIs | |
| Publication status | Published - 29 Nov 2019 |
| Event | 6th International Workshop LowCost 3D 2019: Sensors, Algorithms, Applications - Strasbourg, France Duration: 2 Dec 2019 → 3 Dec 2019 Conference number: 6 https://lc3d.fbk.eu/ |
Publication series
| Name | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
|---|---|
| Publisher | Copernicus |
| ISSN (Print) | 2194-9034 |
Workshop
| Workshop | 6th International Workshop LowCost 3D 2019 |
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| Country/Territory | France |
| City | Strasbourg |
| Period | 2/12/19 → 3/12/19 |
| Internet address |
Keywords
- ITC-GOLD