Thank you so much!

Finally I could solve my problem with 2 iterations of autooptimiser + 
cpclean in order to delete the outliers cpo.

El jueves, 28 de enero de 2021 a las 17:27:51 UTC+1, T. Modes escribió:

> Hi,
>
> alvaroh...@gmail.com schrieb am Mittwoch, 27. Januar 2021 um 12:39:39 
> UTC+1:
>
>> I've noticed that the 'Distance' parameter in the control point tab (in 
>> Hugin interface) is playing an important role in the overall stitching 
>> quality (i don't really understand how hugin manage this parameter or how 
>> it's calculated, but it seems to work fine).
>>
>> I would like to know how i can interact with this parameter from the 
>> individual tools like cpfind (since im programming a shell script) or how 
>> can i calculate it in order to improve the overall performance of my 
>> software.
>>
>
> Take both points of the control points and remap these points from the 
> input images to the output panorama. The error is the distance of these 
> remapped points in the output pano. If the distance is zero, the points 
> matches perfectly. The higher the distance the higher the points are 
> separated in the output.
> You can't manipulate the distance directly. It is calculated from the 
> control points, the current geometric parameters of all images (yaw, pitch, 
> roll, horizontal field of view, distortion parameters,…) and the selected 
> output parameters (projection, field of view, canvas size).
>
> Control points can be found cpfind, the geometric parameters can be 
> optimized by autooptimiser  (maybe with pto_var to select which parameters 
> to optimise) and the output parameters can be set by pano_modify.
>
> Some additional information:
> * autooptimiser optimise the geometric parameter in such a way the the 
> mean error distance becomes as small as possible. 
> * The mean error distance can be calculated by checkpto.
>
>

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