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Johannes Schönberger
2013-05-06 18:08:46 +02:00
parent 01124f5bcc
commit 54e3757cb0
1 changed files with 5 additions and 4 deletions
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doc/examples/plot_matching.py
+5 -4
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@@ -8,9 +8,9 @@ were taken from different view points.
In the next step we find interest points in both images and find
correspondencies based on a weighted sum of squared differences of a small
neighbourhood around them. Note, that this measure is only robust towards linear
radiometric and not geometric distortions and is thus only usable with slight
view point changes.
neighbourhood around them. Note, that this measure is only robust towards
linear radiometric and not geometric distortions and is thus only usable with
slight view point changes.
After finding the correspondencies we end up having a set of source and
destination coordinates which can be used to estimate the geometric
@@ -134,6 +134,7 @@ for ax_idx, (m, color) in enumerate(((inliers, 'g'), (outliers, 'r'))):
ax[ax_idx].plot((src[m, 1], dst[m, 1] + 200), (src[m, 0], dst[m, 0]), '-',
color=color)
ax[ax_idx].plot(src[m, 1], src[m, 0], '.', markersize=10, color=color)
ax[ax_idx].plot(dst[m, 1] + 200, dst[m, 0], '.', markersize=10, color=color)
ax[ax_idx].plot(dst[m, 1] + 200, dst[m, 0], '.', markersize=10,
color=color)
plt.show()