Thank you Florian; I can see a logic in your statement. However, I still 
think there is something odd with this. It may be a particular result of 
working with mosaic stitching in very controlled conditions; the images 
making up my panoramas are laid out on a regular grid and my control points 
are often repeated between multiple images.

 My "errors" always tend to be the control points towards the edges, those 
which are only in two images. My best CPs are always those towards the 
centre of any four images. This is because, I believe, the optimisation 
prioritises points equally across the panorama/mosaic. However, if one set 
of points is repeated many times, the model will tend to exaggerate the 
correctness of those points over the equally important points at the edge.

I think your weighting feature in Hugin++ could be very helpful.
On Friday, 6 May 2022 at 18:14:44 UTC+1 Florian Königstein wrote:

> Since every control point connects only two images, it's normal and 
> reasonable that you have more CPs in the intersection of 4 images. Every CP 
> generates constraints on the relative position of two images.
>
> In Hugin++ you could set weights for control points. However, this should 
> in most cases only be necessary when you have "good" CPs and "bad" CPs 
> (e.g. due to moving objects) and you have no other choice but keeping some 
> of the "bad" CPs. Then you can assign higher weights for good CPs and/or 
> lower weights for bad CPs.
> [email protected] schrieb am Freitag, 29. April 2022 um 14:54:49 UTC+2:
>
>> Is there not a bias in the way Hugin optimises; that control points at 
>> the intersection of four images will be weighted three more times than 
>> those at the intersection of the pair of images above or below? The larger 
>> error in control points always tend to be the furthest from the centre.
>>
>> Without manually adding control points away from the 4-way intersection 
>> (or removing those in the centre), is there some way to compensate for this 
>> with cpfind or autooptimiser?
>>
>> (Hoping the attached image posts)
>>
>

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