II'll share what I do with multirow panoramas.

In my case the problem was that no matter what I did, even using *multirow* 
mode, Hugin would find Control Points in images that didn't belong on 
adjacent rows or columns, messing the final alignment. I had to go in and 
cleanup manually, wasting a lot of time.

Starting with a tiled array with rows a and columns like this:

A1 A2 A3 A4
B1 B2 B3 B4
C1 C2 C3 C4

For my needs I needed to find only the matching points in images that were 
directly adjacent instead of trying to find connecting points in all of the 
images. For example: for the tile B3 I needed only Control points on A3, B4 
C3, and B2 

A1 A2 *A3* A4
B1 *B2* *B3* *B4*
C1 C2 *C3* C4


My workflow was 

1- Create a new project for each row (A1, A2, A3, etc), find the control 
points and.
2- Create a new project for each column (A1, B1, C1, etc), and find the 
control points. 
3- Merge all projects containing rows and columns using *pto_merge*. This 
allows all the images to be in the same project with their respective 
Control Points.
4- Create panorama using the resulting file.

I creates a script that works in Linux to automate the procedure.
Note that in my case the camera is moving linearly on a track, and the 
camera positions are different for each row and column, so I needed to 
create a* new lens* for each picture. Feel free to modify the script for 
your needs

I hope someone finds this useful

On Wednesday, August 23, 2023 at 10:21:26 AM UTC-7 gree...@verizon.net 
wrote:

> Thanks to Greg & David, there is "Joy in Mudville”
>
> I have tried this several times and I am now batting 1000 on getting a 
> successful multi-row panorama.
>
> Here is a summary that shows what is working for me. Please let me know if 
> I missed something.
>
> One thing I noticed that each time I tried this, I got a slightly 
> different number of Control Points and a slight difference in the Mean 
> error statistics
>

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Attachment: rows_and_columns
Description: application/shellscript

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