EN
NIS:
ISPRS Commission III, Vol.34, Part 3A „Photogrammetric Computer Vision‘, Graz, 2002
Figure 8: Part of original building model (with texture)
Figure 9: Part of simplified building model (with texture)
Figure 10: Part of original building model (without texture)
5. CONCLUSION
In addition to the further improvement of tools for automatic
collection of virtual city models, it is our believe that there is an
increasing demand for algorithms allowing for an improved
usability of this type of data. One option is the application of
3D building models in the context of location aware
applications as described in the paper. Based on the co-
registration of the virtual city model to an image of the
environment, the access to object related information can be
realised. For this application, the exterior orientation of the
image was refined by an automatic detection of the building
silhouette. Additionally, the current transition from 2D map-like
representations to more realistic 3D visualisations will require
the availability of tools for generalisation of 3D data.
Algorithms like they have been discussed in the second part of
the paper are especially necessary, if a good interpretability of
the presented 3D data is aspired at very different scales.
6. REFERENCES
Ballard, D.H. & Brown, C.M. (1982) Computer Vision,
Prentice-Hall Inc., Englewood Cliffs, NJ.
Baltsavias, E., Grün, A., van Gool, L. (2001): Automatic
Extraction of Man-Made Objects From Aerial and Space
Images (III). A.A. Balkema Publishers
Fritsch, D., Klinec, D., Volz, S. (2000). NEXUS - Positioning
and Data Management Concepts for Location Aware
Figure 11: Part of simplified building model (without texture)
Applications. 2nd International Symposium on
Telegeoprocessing , pp. 171-184
Heckbert, P. S. & Garland, M. (1997), Survey of Polygonal
Surface Simplification Algorithms. SIGGRAPH '97 Course
Notes Multiresolution Surface Modeling , pp. 8-38
Hóllerer, T., Feiner, S., Terauchi, T., Rashid, G., Hallaway, D.
(1999) Exploring MARS:developing indoor and outdoor user
interfaces to a mobile augmented reality system. Computers &
Graphics 23, pp. 779-785.
Malaka, R. & Zipf, A. (2000), DEEP MAP - Challenging IT
research in the framework of a tourist information system.
Proceedings of ENTER 2000, pp. 15-27
Mayer, H. (2000): Scale-Space Events for the Generalization of
3D-Building Data. IAPRS Vol. 33 Part B4 , pp. 639-646
Sester, M. (2000): Generalization Based on Least Squares
Adjustment. IAPRS Vol. 33 Part B4 , pp. 931-938
Ulrich, M., Steger, C., Baumgartner, A., Ebner, H. (2001):
Real-Time Object Recognition in Digital Images for Industrial
Applications. 5th Conference on Optical 3D Measurement
Techniques, pp. 308-318
Wolf, M. (1999) Photogrammetric Data Capture and
Calculation for 3D City Models. Photogrammetric Week '99,
pp. 305-313
A - 143
