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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Reiterer, A. Lehmann, M. |
| Copyright Year | 2007 |
| Description | Author affiliation: Inst. of Geodesy & Geophys., Vienna Univ. of Technol., Vienna (Reiterer, A.; Lehmann, M.) |
| Abstract | In the past, high-precision on-line 3D measuring required artificial targets defining the points on the objects to be monitored. For many tasks like monitoring of displacements of buildings, artificial targets are not desired. Today's image assisted measurement systems can perform their measurements even without targeting. Such systems use the texture on the surface of the object to find "interesting points" which can replace the artificial targets. However, well-trained "measurement experts" are required to operate such a measurement system. In order to make such systems easy to use even for non-experts, it can be extended by an appropriate decision system which supports the operator. At the Institute of Geodesy and Geophysics of Vienna University of Technology a new kind of image-based measurement system is to be developed (research project "multi-sensor deformation measurement system supported by knowledge-based and cognitive vision techniques"). This system can be used for measuring, analysing and interpreting deformations for the task of quality control in civil engineering. The workflow is based on new techniques originally developed in the area of artificial intelligence. |
| Starting Page | 113 |
| Ending Page | 118 |
| File Size | 904936 |
| Page Count | 6 |
| File Format | |
| ISBN | 9789531841160 |
| ISSN | 18455921 |
| DOI | 10.1109/ISPA.2007.4383674 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-27 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Fac. of Elec. Eng. & Computing, Univ of Zagreb, Croatia |
| Subject Keyword | Quality control Civil engineering Geophysical measurements Level measurement Monitoring Performance evaluation Surface texture Geodesy Geophysics Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
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