Image-Based Automated 3D Crack Detection for Post-disaster Building Assessment
Image-Based Automated 3D Crack Detection for Post-disaster Building Assessment
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DOI：
10.1061/(asce)cp.1943-5487.0000334
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发表时间：
2014-09
期刊：
影响因子：
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通讯作者：
M. M. Torok-M.;M. G. Fard;K. Kochersberger
中科院分区：
文献类型：
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作者：
M. M. Torok-M.;M. G. Fard;K. Kochersberger
AbstractNatural disasters all too often place human lives and property at risk. Recovery efforts following a disaster can be slow and painstaking work, and potentially put responders in harm’s way. A system which helps identify defects in critical building elements (e.g., concrete columns) before responders must enter a structure could save lives. In this paper we propose such a system, centered around an image-based three-dimensional (3D) reconstruction method and a new 3D crack detection algorithm. The image-based method is capable of detecting and analyzing surface damages in 3D. We also demonstrate how a robotic platform could be used to gather the set of images from which the reconstruction is created, further reducing the risk to responders. In this regard, image-based 3D reconstructions represent a convenient method of creating 3D models because most robotic platforms can carry a lightweight camera payload. Additionally, the proposed 3D crack detection algorithm also provides the advantage of being...
