Fathi, H and Brilakis, I and Vela, PA (2011) Automated 3D Structure Inference of Civil Infrastructure Using a Stereo Camera Set. In: UNSPECIFIED pp. 118-125..Full text not available from this repository.
The commercial far-range (>10m) infrastructure spatial data collection methods are not completely automated. They need significant amount of manual post-processing work and in some cases, the equipment costs are significant. This paper presents a method that is the first step of a stereo videogrammetric framework and holds the promise to address these issues. Under this method, video streams are initially collected from a calibrated set of two video cameras. For each pair of simultaneous video frames, visual feature points are detected and their spatial coordinates are then computed. The result, in the form of a sparse 3D point cloud, is the basis for the next steps in the framework (i.e., camera motion estimation and dense 3D reconstruction). A set of data, collected from an ongoing infrastructure project, is used to show the merits of the method. Comparison with existing tools is also shown, to indicate the performance differences of the proposed method in the level of automation and the accuracy of results.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Divisions:||Div D > Construction Engineering|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 18:40|
|Last Modified:||26 Mar 2017 03:56|