Full text: XIXth congress (Part B5,1)

  
  
Ermes, Pierre 
10mm. We checked the remaining tape measurements against the photogrammetrically obtained model dimensions and 
the differences were all less than the estimated accuracy. 
  
  
Figure 5. The reconstructed model. 
7 CONCLUSIONS 
We implemented a model-based photogrammetric system in combination with geometric constraints and a bundle 
adjustment. The unique feature of this system is that measurements on the back-projected model edges are directly 
related to the parameters of the CSG model and the parameters of the image orientation. 
The integrated bundle adjustment overrides the need for a separate triangulation stage and no markers need be attached 
to the installation. Instead, a one-step procedure, in which the installation is measured and the image orientations are 
determined, is presented. 
Geometric constraints between the primitives of a CSG model and geometric constraints between different CSG models 
are included in the least-squares estimation of the parameters as weighted linearized observation equations. 
The model-based photogrammetric system, including the geometric constraints and the bundle adjustment, is 
successfully applied for the reconstruction of a complex industrial installation. 
ACKNOWLEDGMENTS 
We would like to thank the NAM for their cooperation during the pilot project. 
This research is supported by the Dutch Technology Foundation (STW). 
REFERENCES 
Benning, W., 1997. PHIDIAS-MS - Eine Digitale Photogrammetrieapplication unter MicroStation fur 
Nahbereichsanwendungen. Allgemeine Vermessungsnachrichten, pp. 16-25. 
Bouma, W., Chen, X., Fudos, I., Hoffmann, C., Vermeer, P.J., An Electronic Primer on Geometric Constraint Solving. 
http://www.cs.purdue.edu/homes/cmh/electrobook/intro.html (March 2000). 
Ermes, P., van den Heuvel, F.A., Vosselman, G., 1999. A Photogrammetric Measurement Method Using CSG Models. 
International Archives of Photogrammetry and Remote Sensing, Vol 32, Part 5W11, Thessaloniki, pp. 36-42. 
Hilgers, G., Przybilla, H.-J., Woytowics, D., 1998. The Digital Photogrammetric Evaluation System PHAUST for As- 
Built Documentation. International Archives of Photogrammetry and Remote Sensing, Vol 32, Part 5, Hakodate, pp. 
226-229. 
Jones, M.A., Chapman, D.P., Hamid, A.A., Deacon, A.T.D., 1996. Close Range Photogrammetry Using Geometrical 
Primitives for Efficient CAD Modelling of Industrial Plant. International Archives of Photogrammetry and Remote 
Sensing, Vol 31, Part B5, Vienna. 
Luhmann, T., 2000. Nahbereichsphotogrammetrie. Wichmann, Heidelberg, pp. 67-68. 
Mikhail, E.M., 1976. Observations and Least Squares. Dun-Donnelley, New York. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B5. Amsterdam 2000. 221 
 
	        
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