2013
DOI: 10.1061/(asce)su.1943-5428.0000105
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Precise Photogrammetric Reconstruction Using Model-Based Image Fitting for 3D Beam Deformation Monitoring

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Cited by 41 publications
(23 citation statements)
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“…The realization of the model in the imagery is the model's bounding edges derived through the Canny edge detector (Canny, 1986). It should be noted that each model was simultaneously adjusted in as many images as it appeared in, which increased the redundancy and thus the reliability of the solution (Kwak et al, 2013). …”
Section: Model-based Image Fitting For 3d Positioning Of Rectangular mentioning
confidence: 99%
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“…The realization of the model in the imagery is the model's bounding edges derived through the Canny edge detector (Canny, 1986). It should be noted that each model was simultaneously adjusted in as many images as it appeared in, which increased the redundancy and thus the reliability of the solution (Kwak et al, 2013). …”
Section: Model-based Image Fitting For 3d Positioning Of Rectangular mentioning
confidence: 99%
“…It is referred to as model-based image fitting, and it recovers the position of rectangular features in all three dimensions (Kwak et al, 2013).…”
Section: Model-based Image Fitting For 3d Positioning Of Rectangular mentioning
confidence: 99%
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“…Photogrammetric outputs were compared against the results obtained from the LVDTs to validate the deformation and displacement of beam and columns. Kwak et al (2013) achieved submillimeter accuracy for the calculation of both vertical deflections and horizontal displacements to unite two methodologies of photogrammetric reconstructionimage-matching-based reconstruction and model-based image fitting.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, accurate 3D surface reconstruction has been noticed as one of the most important necessities of different mapping and monitoring applications such as urban planning [1], environmental monitoring [2], infrastructure monitoring [3], cultural heritage documentation [4], indoor localization [5], and disaster management [6]. Considering the requirements of these applications, the required data for 3D surface reconstruction are usually acquired using different passive and active digital imaging systems mounted on static or mobile airborne and terrestrial platforms.…”
Section: Introductionmentioning
confidence: 99%