Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures
This dissertation introduces novel monocular vision-based approaches for 3D displacement measurement in civil engineering structures. They enable accurate measurement of 3D displacements using just a static monocular camera. The cornerstone of this innovation lies in the utilization of advanced deep...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/95823 |
| _version_ | 1848766050373468160 |
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| author | Shao, Yanda |
| author_facet | Shao, Yanda |
| author_sort | Shao, Yanda |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This dissertation introduces novel monocular vision-based approaches for 3D displacement measurement in civil engineering structures. They enable accurate measurement of 3D displacements using just a static monocular camera. The cornerstone of this innovation lies in the utilization of advanced deep learning neural networks, which have the capability to extract 3D information from a single input image. |
| first_indexed | 2025-11-14T11:44:59Z |
| format | Thesis |
| id | curtin-20.500.11937-95823 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:44:59Z |
| publishDate | 2024 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-958232024-09-04T05:51:55Z Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures Shao, Yanda This dissertation introduces novel monocular vision-based approaches for 3D displacement measurement in civil engineering structures. They enable accurate measurement of 3D displacements using just a static monocular camera. The cornerstone of this innovation lies in the utilization of advanced deep learning neural networks, which have the capability to extract 3D information from a single input image. 2024 Thesis http://hdl.handle.net/20.500.11937/95823 Curtin University restricted |
| spellingShingle | Shao, Yanda Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title | Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_full | Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_fullStr | Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_full_unstemmed | Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_short | Monocular Vision-Based Target-free Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_sort | monocular vision-based target-free three-dimensional (3d) vibration displacement measurement for civil structures |
| url | http://hdl.handle.net/20.500.11937/95823 |