Full text: XVIIIth Congress (Part B3)

the hypothesized roof lines. Assuming that image coor- 
dinates of these roof lines and the corresponding image 
lines only differ from each other due to the deviation of 
hypothesized roof height and true roof height, the radial 
distance (distance in direction to nadir point) between the 
corresponding roof and image line can be used to compute 
their difference in height. Figure 6 shows the situation of 
figure 5 as a 3D view with matched image lines and the 
buildings constructed using the 2D ground plans and the 
assumed height parameters. After the matched image lines 
have been determined in 3D, the hypothesized height and 
slope of the roof can be adopted by a least squares ad- 
justment. Even though it is possible to use a single image 
for the verification task, it is fraught with meaning to add 
at least information extracted from a second image to get 
results which are more reliable. This second image will 
always be available if an aerial image flight was carried 
out. 
5 CONCLUSION 
Within this article we discussed and presented first re- 
sults of a procedure aiming on the 3D reconstruction of 
buildings by combing preexisting outlines of buildings and 
image data. To generate hypotheses for the 3D shape of 
buildings the ground plans extracted from a digital cadas- 
tral map were generalized the combination of adjoining 
ground plans and the simplification of the contour lines. 
The information on the use of the buildings also avail- 
able from the digital cadastral map was utilized to define 
the unknown height parameters of the buildings. The hy- 
potheses generated by analysis of the 2D data base then 
were verified by matching lines which were extracted from 
an aerial image against the lines of the hypothesized build- 
ing model. Because the building 3D hypotheses can be 
projected into image space using terrain heights, which 
are e.g. provided by an existing authoritative DTM, in 
principle a single image can be used for the verification 
process, like it was carried out in this article. Nevertheless 
in our opinion it will be necessary to use at least two over- 
lapping images to increase the reliability of the verification 
and parameter estimation process. 
Image interpretation is far from being solved in complex 
290 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996 
areas like build-up regions. Nevertheless it is very promis- 
ing to support this process by additional information like 
the used 2D GIS data. Moreover, due to the increasing 
number of already existing digital data, in our opinion the 
automatic extension and upgrade of these data bases like 
was is demonstrated in this article will become a topic of 
growing importance for future applications. 
References 
Braun, C., Kolbe, T., Lang, F., Schickler, W., Stein- 
hage, V., Kremers, A., Forstner, W. & Plümmer, L. 
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struction’, Computer & Graphics 19(1), 109-118. 
Burns, J., Hansen, A. & Riseman, E. (1986), ‘Extracting 
straight lines’, IEEE Transactions on Pattern Analy- 
sis and Machine Intelligence 8(4), 425—443. 
Carosio, A. (1995), Three-dimensional synthetic land- 
scapes: Data acquisition, modelling and visualiza- 
tion, in D. Fritsch & D. Hobbie, eds, ‘Photogrammet- 
ric Week '95', Herbert Wichmann Verlag, pp. 293— 
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Flynn, P. & Jain, A. (1991), ‘CAD-based computer vision: 
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Haala, N. (1995), 3D building reconstruction using linear 
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Haala, N. & Hahn, M. (1995), Data fusion for the de- 
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Birkhauser Verlag, Basel, Boston, Berlin, pp. 211- 
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Illert, A. (1990), Automatische Erfassung von Karten- 
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