Full text: Proceedings, XXth congress (Part 3)

  
Parameter Unit Value 
focal length f pix 947 
aspect ratio a 1 0.94 
skew s 1 0 
principal point z9 pix 250 
principal point yo pix 384 
radialdistortionk — pix ^?  —1.7-1077 
Table 1: Inner camera parameters. 
to photographic cameras, one pixel on the facade has a size 
of approx. 3cm, whereas a disparity change of one pixel 
changes the depth by about 5 cm even though camera setup 
could be considered wide base stereo. A noise of 1 pixel in 
the disparity map therefore results in a noise of 5cm in 
the depth map which makes the surface pretty coarse. This 
could be improved with an enhanced dynamic program- 
ming scheme that allows subpixel disparity values. Since 
this example has been computed with only three images 
out of over 100, better results might be obtained if more 
images are used in order to take advantage of averaging. 
To verify the influence of the relief on the visual im- 
pression of the results, three positions have been marked 
in Fig. 5. For the flat model it can be seen that the rela- 
tive position of the marked features does not change with 
respect to their surroundings. Both views are related by a 
planar homography. 
For the relief model, different angles of view lead to dif- 
ferent visibility of details that are below or above the fa- 
cade. Bell and sky (a) can only be seen from the right 
view. The statue (b) which is embossed on the facade 
changes its relative position to features directly on the fa- 
cade. The door frame blocks off the view onto the leftmost 
part of the door in the left image, making the sunlit part (c) 
smaller than compared to Fig. 5. 
There are some gross errors in reconstruction of the facade. 
Fig. 9 shows the left bottom part of the model where errors 
during guided matching lead to a cavity. This and other ar- 
rors occur probably because the epipolar lines are parallel 
to the horizontal structures on the facade due to horizontal 
movement. In areas with little or even irritating texture this 
will mislead the matching. One possibility to circumvent 
this effect would be to use images taken from a different 
height so that the epipolar lines run diagonally or vertically 
across the facade. Errors like these however do not influ- 
ence the outline of the reconstructed model because depth 
is forced to given values at the borders. 
5 CONCLUSIONS 
A hybrid model that refines a coarse wire frame model by 
detailed relief recovered from images has been proposed. 
The approach is suitable for rapid prototyping, because the 
required model can easily be constructed by manual inter- 
action whereas the relief will be generated automatically. 
Results including a comparison with a flat model are given 
for a set of images taken by a hand held video camera. 
972 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
  
Figure 9: Gross error in reconstruction. This figure shows 
the lower left part of the facade. 
They show that relief structure can be retrieved and that re- 
lief information can upgrade visual impression. The over- 
all quality is limited by the resolution of the camera but 
improvements are expected if the number of images is in- 
creased. Additionally, the dynamic programming scheme 
could be enhanced to allow a disparity estimation with sub- 
pixel accuracy. 
REFERENCES 
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A. Grün and L. van Gool (eds), Proc. 3rd Int. Workshop on 
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Falkenhagen, L., 1997. Hierarchical block-based dispar- 
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Greece. 
Grün, A., Remondino, F. and Zhang, L., 2003. Auto- 
mated modelling of the great buddha statue in bamiyan, 
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Hartley, R. and Zisserman, A., 2000. Multiple view geom- 
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Koch, R., 1997. Automatische Oberfláchenmodellierung 
starrer dreidimensionaler Objekte aus Stereoskopischen 
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Pollefeys, M., 1999. Self-calibration and Metric 3D Re- 
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