INDOOR SCENE REGISTRATION BASED ON KEY POINTS SAMPLING AND HIERARCHICAL FEATURE LEARNING
PointNet has been widely considered as a popular representation for unstructured point clouds with the aim of classification and segmentation. To date, recent researches represent the limitation of the PointNet to pose estimation and alignment of real environment, due to the low performance in patte...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2020-08-01
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| coleção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/177/2020/isprs-archives-XLIII-B2-2020-177-2020.pdf |
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