John Muccigrosso wrote on Fri, 14 Nov 2014 at 16:15:23 -0800 (PST)
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I have about a dozen photos, overhead shots taken of an area. They don't
cover all of it, so the final output is going to be a little weird
looking. Hugin finds a lot of control points attaching the photos one to
another, but the final output is very poor (in fact the fast preview
shows the artifacts mentioned here
<
https://groups.google.com/forum/#!topic/hugin-ptx/64M28_sjxmo>).
I started instead with just two photos and that stitch went fine, so I'm
thinking it might just be simplest to work through the set incrementally
(though it may be that I'm doing something stupid elsewhere, too).
If I were to do this incrementally, what's the best approach? Start with
two. Output an image. Start again with that image and the next one.
Output. And so on?
TIA.
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For a photomosiac Hugin works fine for a few images (I'm assuming you
are working in translation mode) but does seem to get confused when
presented with too many images. Helping to steer the optimisation by
working incrementally does usually help in my experience. If you want
to work incrementally by images rather than by parameters for the whole
set you should not need to output a stitched panorama at each stage.
You can control which images are included by deselecting the rest in the
fast preview window and making sure that 'Only use control points
between images selected in the preview window' is selected in the
optimiser. When you have a satisfactory set, include those images in
the set selected in the preview window but switch off optimisation for
them so that the added images are then optimised with respect to the
original set. One advantage of this approach is that once the optimiser
has found a pretty good solution you should be able to improve it by
switching optimisation of the original set back on and reoptimising both
old and new images as a single set.
I have certainly encountered the sort of pattern shown in your screen
grab, which is the effect of extreme and absurd values in some
parameters. My first recourse is to revisit the control points, trying
to make sure they are spread right across all overlapping areas so that
the images are as interlocked as possible. That can be a rather boring
and time-consuming process. And usually adding horizontal and vertical
control points helps if there are features from which they can be
defined. But you may have problems if there are voids in your coverage.
It may help, at least as a first step, to locate the extreme parameter
values and reset them to 0 or a plausible value.
Roger Broadie