On 17 Feb., 19:57, Bill Sherman <[email protected]> wrote:

> Has anyone successfully created a workflow that adds control points
> based on geometry rather than feature matches?
>
> If one were to somehow calculate these control points, how best to
> get them into the system, and then not have them altered by the
> optimizer stage, etc.?

Hi Bill!

What you need for your images is correct yaw, pitch and roll values -
control points are only a means to get them. As Bruno has pointed out,
these values might be derived from the capture process, be it from
it's parameters as passed to the robotic head, be it as a log file of
sorts. If the 'featureless' images are placed (roughly) by using the
capture process y, p and r values, and if they're not connected by
control points with other images, they'll be left where they are by
the optimizer. Putting the y, p and r values into the pto script,
which is a mere text file, isn't difficult.

On the other hand, where you have images with features, you can do the
last bit of nudging via CPs and the optimizer. In corner cases, when
you have only little usable content somewhere in an image, you need to
manually intervene if the stitch isn't perfect.

Another method to deal with featureless areas is to have some more
wide-angle material to use as backdrop, in which case you can omit
those images that don't yield (usable) CPs.

Setting CPs following the shooting pattern is not a good idea, because
CPs should reflect matching content, as determined by the feature
detector in the CP generator - or your eyes, if you set them manually.

Kay

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