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dc.contributor.authorShao, Yanda
dc.contributor.supervisorLing Lien_US
dc.contributor.supervisorJun Lien_US
dc.contributor.supervisorSenjian Anen_US
dc.date.accessioned2021-12-15T05:47:27Z
dc.date.available2021-12-15T05:47:27Z
dc.date.issued2021en_US
dc.identifier.urihttp://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.publisherCurtin Universityen_US
dc.titleComputer Vision-Based Three-dimensional (3D) Vibration Displacement Measurement for Civil Structuresen_US
dc.typeThesisen_US
dcterms.educationLevelMPhilen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidShao, Yanda [0000-0002-6611-5842]en_US


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