3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network
3D point cloud learning using deep learning architecture has become an active research trend due to advancement in 3D acquisition technologies. However, raw point clouds are often incomplete, unstructured, and noisy due to viewpoint occlusion and surface irregularity. 3D modeling task is the focus i...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2022
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| Online Access: | http://hdl.handle.net/20.500.11937/89924 |
| _version_ | 1848765296637116416 |
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| author | Phang, Jonathan Then Sien |
| author_facet | Phang, Jonathan Then Sien |
| author_sort | Phang, Jonathan Then Sien |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 3D point cloud learning using deep learning architecture has become an active research trend due to advancement in 3D acquisition technologies. However, raw point clouds are often incomplete, unstructured, and noisy due to viewpoint occlusion and surface irregularity. 3D modeling task is the focus in this research work for 3D point cloud representation learning and reconstruction due to its importance in vast applications that require a concise and efficient reconstruction and recognition of object model. |
| first_indexed | 2025-11-14T11:33:00Z |
| format | Thesis |
| id | curtin-20.500.11937-89924 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:33:00Z |
| publishDate | 2022 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-899242025-01-15T04:34:19Z 3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network Phang, Jonathan Then Sien 3D point cloud learning using deep learning architecture has become an active research trend due to advancement in 3D acquisition technologies. However, raw point clouds are often incomplete, unstructured, and noisy due to viewpoint occlusion and surface irregularity. 3D modeling task is the focus in this research work for 3D point cloud representation learning and reconstruction due to its importance in vast applications that require a concise and efficient reconstruction and recognition of object model. 2022 Thesis http://hdl.handle.net/20.500.11937/89924 Curtin University fulltext |
| spellingShingle | Phang, Jonathan Then Sien 3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network |
| title | 3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network |
| title_full | 3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network |
| title_fullStr | 3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network |
| title_full_unstemmed | 3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network |
| title_short | 3D Point Cloud Representation Learning and Reconstruction using Vector-based Neural Network |
| title_sort | 3d point cloud representation learning and reconstruction using vector-based neural network |
| url | http://hdl.handle.net/20.500.11937/89924 |