I'm not convinced that the number of control points is a good measure for the
"quality" of the control points. In other projects there can also be image
pairs with only 2 control points, but these can be essential to keep all images
together.
So simply use the number is in general a bad idea and I will not implement it.
I see that it may be helpful in your case. But you are using very difficult
images, where all building are more or less the same gray level.
So in this case it could be a solution to use the "--linearmatch" option in
cpfind to prevent generating "wrong" control points in the first place instead
of trying to remove the wrong one later.
** Changed in: hugin
Status: New => Won't Fix
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https://bugs.launchpad.net/bugs/1499871
Title:
Add feature to dissociate image pairs based off of total control point
count
Status in Hugin:
Won't Fix
Bug description:
I had a project where automatic control point creation managed to
connect virtually all overlapping images together, but stitching was
rendered impossible due to each image also having a high number of low
quality connections with completely unrelated images.
Example 1 - low quality control points: http://i.imgur.com/weP0mRG.png
Example 2 - note that none of the images with less than six control points
actually overlap: http://i.imgur.com/5igA2VZ.png
Example 3 - the best stitch I could get using built-in cp cleaning and
optimization tools: http://i.imgur.com/dSm7LFW.png
By writing a python script to delete all control points between any
image pairs with a lower-than-typical control point count, I managed
to get it to stitch properly.
http://i.imgur.com/ycUqr30.png
http://i.imgur.com/qsHhv6r.png
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