DocumentCode
1814929
Title
Analytical approach to augmenting site photos with 3D as-built bored pile models
Author
Dai, Fei ; Lu, Ming
Author_Institution
Dept. of Civil & Struct. Eng., Hong Kong Polytech. Univ., Hong Kong, China
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
2691
Lastpage
2702
Abstract
To acquire information of the invisible underground infrastructure, non-destructive subsurface imaging technologies are generally utilized. In construction, the recorded data of as-built pile excavation is archived in Koden test result sheets. The test result is in the form of literal document and identified by the pile numbering. The graphical presentation of the test result may provide a clearer and easier way for engineers to investigate the pile alignment by merging the result onto the real site photo. The key is to devise a ¿virtual camera¿ to project the three-dimensional as-built model of the bored pile onto a two-dimensional view of the site scene, resulting in an augmented photo of the bored pile. The mathematical equations are formulated to allow for parameterization of the projection. A case of augmenting a ground site photo with as-built underground data for the purpose of investigation of alignment for a bored pile construction is demonstrated.
Keywords
cameras; construction industry; digital photography; foundations; image processing; nondestructive testing; solid modelling; virtual reality; 3D as-built bored pile models; Koden test result sheets; as-built pile excavation; augmented photo; bored pile construction; graphical presentation; ground site photo; invisible underground infrastructure; mathematical equations; nondestructive subsurface imaging technology; pile alignment; pile numbering; projection parameterization; site photos; virtual camera; Buildings; Equations; Image analysis; Information analysis; Layout; Merging; Photography; Project management; Structural engineering; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-5770-0
Type
conf
DOI
10.1109/WSC.2009.5429259
Filename
5429259
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