Title
A Methodology for Creating Large Scale Reference Models with Known Uncertainty for Evaluating Imaging Solution
Abstract
We propose a methodology for acquiring reference models with known uncertainty of complex building-sized objects. Those can be used to quantitatively evaluate the performance of passive 3D reconstruction when working at large scale. The proposed methodology combines the use of a time-of-flight scanner, a laser tracker, spherical artifacts and contrast targets. To demonstrate the soundness of the proposed approach, we built a reference model composed of a 3D model of exterior walls and courtyards of a 130m x 55m x 20m Building. The expanded uncertainty of the 3D reference model and the spatial resolution were calculated.
Year
DOI
Venue
2014
10.1109/3DV.2014.104
3DV (Workshops)
Keywords
Field
DocType
reference model,3D imaging,metrology
Computer vision,Reference model,Computer science,Metrology,Artificial intelligence,Scanner,Soundness,Laser tracker,Image resolution,3D reconstruction
Conference
Volume
ISSN
Citations 
2
1550-6185
0
PageRank 
References 
Authors
0.34
5
6
Name
Order
Citations
PageRank
Marc-Antoine Drouin1346.44
Jean-Angelo Beraldin2132.93
Luc Cournoyer3566.71
David Mackinnon441.28
Guy Godin51379.92
Jonathan Fournier600.68