Instance Segmentation of Point Clouds using Deep Learning
The main objective of this thesis is to implement a deep network architecture to segment and instantiate objects on 3d point clouds using pointnet, a novel 3d deep learning network that segments 3d point clouds in semantically meaningful classes, as a baseline.
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| Tipo de documento: | dissertação |
| Data de publicação: | 2018 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/117737 |
| Acesso em linha: | https://hdl.handle.net/2117/117737 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Machine learning Cloud computing point cloud instantiation segmentation pointnet deep learning tensorflow python Aprenentatge automàtic Computació en núvol Àrees temàtiques de la UPC::Informàtica |
| Resumo: | The main objective of this thesis is to implement a deep network architecture to segment and instantiate objects on 3d point clouds using pointnet, a novel 3d deep learning network that segments 3d point clouds in semantically meaningful classes, as a baseline. |
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