Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures
This thesis proposes a novel computer vision-based target-free full-field 3D displacement measurement for civil engineering. Two cameras are combined as a binocular camera system to acquire the vibration video of civil structures. Some state-of-the-art methods including deep learning in the computer...
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| Format: | Thesis |
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Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/86762 |
| _version_ | 1848764877045235712 |
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| author | Shao, Yanda |
| author_facet | Shao, Yanda |
| author_sort | Shao, Yanda |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis proposes a novel computer vision-based target-free full-field 3D displacement measurement for civil engineering. Two cameras are combined as a binocular camera system to acquire the vibration video of civil structures. Some state-of-the-art methods including deep learning in the computer vision area are applied to realize target-free, full-field and tiny displacement measurements. A series of experimental tests and an in-field vibration test are conducted to validate the proposed vision measurement system. |
| first_indexed | 2025-11-14T11:26:20Z |
| format | Thesis |
| id | curtin-20.500.11937-86762 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:26:20Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-867622024-01-08T06:34:01Z Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures Shao, Yanda This thesis proposes a novel computer vision-based target-free full-field 3D displacement measurement for civil engineering. Two cameras are combined as a binocular camera system to acquire the vibration video of civil structures. Some state-of-the-art methods including deep learning in the computer vision area are applied to realize target-free, full-field and tiny displacement measurements. A series of experimental tests and an in-field vibration test are conducted to validate the proposed vision measurement system. 2021 Thesis http://hdl.handle.net/20.500.11937/86762 Curtin University fulltext |
| spellingShingle | Shao, Yanda Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title | Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_full | Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_fullStr | Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_full_unstemmed | Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_short | Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures |
| title_sort | computer vision-based three-dimensional (3d) vibration displacement measurement for civil structures |
| url | http://hdl.handle.net/20.500.11937/86762 |