On Thu, Feb 4, 2010 at 16:27, Thomas <[email protected]> wrote:
> [ ideas about the visualization of control points and distances ]
>
> Aha, I see either again I spoke spanish (optimistic) or you guys just
> didn't like this idea :(

I would be tempted to give the same reply as Lukas, with the current
Hugin trunk and the layout view.

The thickness of the lines gives the number of control points between
images, the color gives the quality of the control points.

The great thing  of this previewing mode is that it shows the images
and their approximate position on the result.

Double-clicking on an image pair loads the two images in the control point tab.

See this image for more:
http://www.flickr.com/photos/36383...@n00/4224767709/sizes/l/
You can clearly see where you are missing control points and which ones are bad.

What is missing in this approach is the different metrics that you had
in your proposal, i.e. maximum error or squared error. Speaking for
myself, I get the maximum error by sorting the control point list (all
images at the same time), so only the average or mean squared error is
relevant.

What do you not like from the current Hugin trunk approach?

Best,

Sébastien

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