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dc.contributor.authorDavid Lattanzi
dc.contributor.authorGregory R. Miller
dc.date.accessioned2017-05-08T22:19:10Z
dc.date.available2017-05-08T22:19:10Z
dc.date.copyrightJune 2015
dc.date.issued2015
dc.identifier.other40721880.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/77454
dc.description.abstractThis paper provides a comparative study of two methods for reconstructing three-dimensional (3D) scenes from monocular two-dimensional (2D) images with respect to their applicability to robotic civil infrastructure inspection. The two methods considered are dense structure from motion (DSfM) and image mosaicing (IM). The primary metrics used in the comparison include: (1) the accuracy of the reconstructions for inspection measurement purposes, (2) the nature and prevalence of reconstruction artifacts, and (3) resolution demands for adequate reconstruction accuracy. A series of small-scale model reconstructions using both approaches were developed and compared. Findings from the small-scale tests were then applied to a full-scale field test of the robotic reconstruction system. Both methods generally produced geometrically accurate reconstructions, but the DSfM method was found to be more adaptable to complex field scenarios. There were also key differences in the frequency and nature of artifacts introduced by each method.
dc.publisherAmerican Society of Civil Engineers
dc.title3D Scene Reconstruction for Robotic Bridge Inspection
dc.typeJournal Paper
dc.journal.volume21
dc.journal.issue2
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/(ASCE)IS.1943-555X.0000229
dc.treeJournal of Infrastructure Systems:;2015:;Volume ( 021 ):;issue: 002
dc.contenttypeFulltext


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