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Generating the sparse point cloud of a civil infrastructure scene using a single video camera under practical constraints

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4 Author(s)
Fei Dai ; Georgia Inst. of Technol., Atlanta, GA, USA ; Rashidi, A. ; Brilakis, I. ; Vela, P.

Automating the model generation process of infrastructure can substantially reduce the modeling time and cost. This paper presents a method to generate a sparse point cloud of an infrastructure scene using a single video camera under practical constraints. It is the first step towards establishing an automatic framework for object-oriented as-built modeling. Motion blur and key frame selection criteria are considered. Structure from motion and bundle adjustment are explored. The method is demonstrated in a case study where the scene of a reinforced concrete bridge is videotaped, reconstructed, and metrically validated. The result indicates the applicability, efficiency, and accuracy of the proposed method.

Published in:

Simulation Conference (WSC), Proceedings of the 2011 Winter

Date of Conference:

11-14 Dec. 2011