Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures
dc.contributor.author | Shao, Yanda | |
dc.contributor.supervisor | Ling Li | en_US |
dc.contributor.supervisor | Jun Li | en_US |
dc.contributor.supervisor | Senjian An | en_US |
dc.date.accessioned | 2021-12-15T05:47:27Z | |
dc.date.available | 2021-12-15T05:47:27Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/86762 | |
dc.description.abstract |
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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Computer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structures | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | MPhil | en_US |
curtin.department | School of Electrical Engineering, Computing and Mathematical Sciences | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |
curtin.contributor.orcid | Shao, Yanda [0000-0002-6611-5842] | en_US |