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Figure 4.3r Roughness for the scale levels o= 8-12, 40-2 1
In the case of detailed manual analysis the direct comparison of
the roughness images on the finer scales (figures 4.2) is a really
severe problem. The job of solving this problem on the coarser
(figures 4.3) levels is much simpler. Similarity in this generali-
zation allows to establish corresponding edges. We do not want
to recall the statements observed in section 3 with the simulated
image, though they can also be observed in these real images.
But one characteristic feature which can be seen in figure 4.21
is not discussed up to now. In the area marked by a circle (cf.
figure 4.21) a spurious edge is generated (at x= 26, in level o-
3.0). But this edge is only present on a small scale range (mo-
ves to x= 28 in level o- 4.2).
The contours of the estimated edge locations in scale space for
this stereo pair are drawn in figures 4.41 and 4.4r. The corre-
sponding edges are identified and marked. In figure 4.4r two
dominant edges are present. Unfortunately the left of both is
just outside the region shown in figure 4.41.
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Figure 4.41 Location of edge candidates in scale space. The de-
tected edges are marked by * (left stereo partner)
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Figure 4.4r Location of edge candidates in scale space. The de-
tected edges are marked by * (right stereo partner)
Finally we address some consequences of tracking edges
through scale for matching. The correspondence of edges is
established manually and with signal control. We start (a) the
tracking at level o= 3 and (b) at level o- 12. The results are
listed in table 1.
Table 1 Influences of tracking to point location and matching
image left image right left - right
AX (pixel) AX (pixel) Apx (pixel)
mad mse | mad mse | mad mse
° start” ?
103 0,62 | 0,54 0,77
N= 15 points
e start” 12
1,05 0,55 | 0,31 0,39 | 0,89 0,68
N= 8 points
AX measures the dislocation of the edges between the start level
(ostart) and the level o= 0, i.e. the unsmoothed image. Apx
measure the difference in these dislocations, i.e. it gives the
resulting systematic effect for the parallaxes. mad stands for
mean about differences and mse denotes the mean square error.
This statistic shows that in theses cases a dislocation of about 1
pixel is observed on the average. The largest shift between two
levels (ao= 1) amounts to 2.9 pixels. The area in which this
shift occurs is marked by the rectangle in figure 4.41. The syste-
matic effect for the parallax nearly reaches about 1 pixel on the
average. Because such a parallax error directly propagates on
the calculated heights, we have to investigate this effect in more
detail in future.