SPARSE POINT CLOUD FILTERING BASED ON COVARIANCE FEATURES
<p>This work presents an extended photogrammetric pipeline aimed to improve 3D reconstruction results. Standard photogrammetric pipelines can produce noisy 3D data, especially when images are acquired with various sensors featuring different properties. In this paper, we propose an automatic filte...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Copernicus Publications
2019-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acceso en liña: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W15/465/2019/isprs-archives-XLII-2-W15-465-2019.pdf |
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