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6 CONCLUSIONS
This paper presents a procedure for 3D grouping by combination of topological and geometrical reasoning. It shows the
advantage of using topological reasoning to efficiently reduce the number of geometric checks to be performed while
feature grouping. The topological reasoning is based on a close interaction of 2D and 3D information to exploit the
redundancy of the observed FAG's in image space. While subsequently checking geometrical relations we use rigorous
statistical testing which allowed to use the same control parameters for all examples and thus supports the generality of
the approach. the experiments with real data demonstrated the feasibility of the approach. Future work is directed toward
integrating single points, but more important, lines or wings ((Baillard et al., 1999)) and possibly regions or meshes in
order to improve completeness of the reconstructions. We also will investigate the impact of integrating range data, either
from stereo or from laser scanners, (Brunn, 2000). ?
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* Acknowledgements: The authors would like to thank Thomas H. Kolbe and Markus Zink for providing parts of the implementation.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 403