Title :
An Industrial Augmented Reality Solution For Discrepancy Check
Author :
Georgel, Pierre ; Schroeder, Pierre ; Benhimane, Selim ; Hinterstoisser, Stefan ; Appel, Mirko ; Navab, Nassir
Author_Institution :
Comput. Aided Med. Procedures & Augmented Reality, TUM Munich, Munich
Abstract :
Construction companies employ CAD software during the planning phase, but what is finally built often does not match the original plan. The procedure of validating the model is called "discrepancy check". The system proposed here allows the user to easily obtain an augmentation in order to find differences between the planned 3D model and the built items. The main difference to previous body of work in this field is the emphasis on usability and acceptance of the solution. While standard image-based solutions use markers or rely on a "perfect" 3D model to find the pose of the camera, our software uses anchor-plates. Anchor-Plates are rectangular structures installed on walls and ceiling in the majority of industrial edifices. We are using them as landmarks because they are the most reliable components often used as reference coordinates by constructors. Furthermore, for real industrial applications, they are the most suitable solutions in terms of general applicability. Unfortunately, they have not been designed with computer vision applications in mind. On the contrary, they are often made or painted in such way that they are not easily popping out. They are therefore difficult targets to segment and to track. This paper proposes a solution to extract and match them to their 3D counterparts. We created a software that uses the detected structures for pose estimation and image augmentation. The software has been successfully employed to find discrepancies in several rooms of two industrial plants.
Keywords :
CAD; augmented reality; computer vision; construction industry; production engineering computing; CAD software; anchor-plates; computer vision; construction companies; discrepancy check; industrial augmented reality solution; Application software; Augmented reality; Cameras; Computer vision; Construction industry; Image segmentation; Industrial plants; Software standards; Target tracking; Usability; H.5.1 [Multimedia Information Systems]; H.5.2 [User Interfaces]; I.4.6 [Segmentation]; I.4.9 [Applications];
Conference_Titel :
Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on
Conference_Location :
Nara
Print_ISBN :
978-1-4244-1749-0
Electronic_ISBN :
978-1-4244-1750-6
DOI :
10.1109/ISMAR.2007.4538834