As you are talking sub-degree precision, there is an inherent limitation
in the hugin lens model or abc parametrisation. From the Brown-Conradi
model, a mathematically sound distortion description, hugin implements
only one of the non-trivial parameters, which is parameter b.
Parameters a and c are not in Brown-Conrady, for polar coordinates they
are mathematically not sound, and in practice their use does not lead to
the quantitative alignment improvement an extra good parameter would
provide.
To add to it, I have seen situations where the use of a and c parameters
have made things observably bad. If parameters b and the offset
parameters d and e provide you with enough precision, then fine, then
hugin is a really good tool for you.
On 30.03.20 09:37, 'ChameleonScales' via hugin and other free panoramic
software wrote:
Unless I'm missing some geometrical effect, it doesn't seem to me that you
would have to re-optimize it given that the transformation should precisely
preserve the panorama's sewing just like in the animation above, so as I
understand it, control point distances should only change proportionally to the
scale you apply. But correct me if I'm wrong.
As for getting it right in the first place, in my use case, I have to
superimpose a panorama to its virtual 3D environment in Blender and I need
sub-degree precision on the HFOV.
I don't think any software could make such a precise guess with the photos I
get from my clients.
--
A list of frequently asked questions is available at:
http://wiki.panotools.org/Hugin_FAQ
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