Figure 5: Number of primitives per netto time. Left: all prim-
itives, right: only CSG-trees with single primitives, maximum
number per time: 170, maximum time 250 s.
200
bii plt* — m: sehn. pie A
“©
150
= oR Af
A closer look at the acquisition times reveils the following:
e The brutto times are shorter by appr. 25 % com-
pared to the version used a year ago within the test
München.
The experienced operator, however, showed a signifi-
cant higher performance.
e The netto times, covering the internal loop for fitting
the primitives to the image content, however are not
significantly different between the two operators (not
shown)
e There is no significant difference in acquisition time
between single-primitive and complex buildings (cf.
fig 5). The median time per primitive lies in the range
of 40 s. This time includes on-line checking using 3D-
visualization. 75 % of all building primitives can be
acquired in a time below a minute (cf. fig. 4)
4 OUTLOOK
This intermediate report on an semiautomatic system for 3D-
data acquisition on a standard workstation with a one-eye ca-
pability has shown the efficiency of deriving 3D-city models
from digitized aerial images. The next step in the develop-
ment are investigations into the usefuleness of new automa-
tion procedures especially matching tools. Also an investi-
gation into the accuracy of the acquired data is necessary.
The flexibility of the setup will support further increases in
efficiency for semiautomatic 3D-data acquisition.
Acknowledgements: This work was partly supported by
DFG (Fo 180/2-2), BMBF (01 M 3018 F6), and DARA (50
TT 95 36) and realized in cooperation with the Institut fiir
Informatik Ill, Universitat Bonn.
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