Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Monocular Videogrammetry for Generating Absolute-Scale 3D Point Cloud Data of Civil and Infrastructure Scenes
Existing methods for automatically determining the absolute scale of Point Cloud Data (PCD) acquired from monocular video/photogrammetry are suitable to a limited set of applications under specific settings and are not general enough to be considered as practical solutions for reconstructing both indoor and outdoor built infrastructure scenes. To address the issue in this paper, we propose a novel method for automatically calculating the absolute scale of built infrastructure PCD. The absolute scale estimation method uses a pre-measured cube for outdoor scenes and a letter-size sheet of paper for indoor environments as the calibration patterns. Assuming that the dimensions of these objects are known, the proposed method extracts the objects' corner points in 2D video frames using a novel algorithm. The extracted corner points are then matched between the consecutive frames. Finally, the corresponding corner points are reconstructed along with other features of the scenes to determine the real world scale. Three indoor and three outdoor cases were selected to evaluate the performance of the proposed method and the absolute-scale PCD for each case was computed. Obtained results illustrate the capacity of the proposed method to accurately compute the absolute scale of PCD.
Monocular Videogrammetry for Generating Absolute-Scale 3D Point Cloud Data of Civil and Infrastructure Scenes
Existing methods for automatically determining the absolute scale of Point Cloud Data (PCD) acquired from monocular video/photogrammetry are suitable to a limited set of applications under specific settings and are not general enough to be considered as practical solutions for reconstructing both indoor and outdoor built infrastructure scenes. To address the issue in this paper, we propose a novel method for automatically calculating the absolute scale of built infrastructure PCD. The absolute scale estimation method uses a pre-measured cube for outdoor scenes and a letter-size sheet of paper for indoor environments as the calibration patterns. Assuming that the dimensions of these objects are known, the proposed method extracts the objects' corner points in 2D video frames using a novel algorithm. The extracted corner points are then matched between the consecutive frames. Finally, the corresponding corner points are reconstructed along with other features of the scenes to determine the real world scale. Three indoor and three outdoor cases were selected to evaluate the performance of the proposed method and the absolute-scale PCD for each case was computed. Obtained results illustrate the capacity of the proposed method to accurately compute the absolute scale of PCD.
Monocular Videogrammetry for Generating Absolute-Scale 3D Point Cloud Data of Civil and Infrastructure Scenes
Rashidi (Autor:in) / Brilakis, I. (Autor:in) / Vela, P. (Autor:in)
ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California
Computing in Civil Engineering (2013) ; 581-588
24.06.2013
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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