Dwarf Gigapixel panoramas

[Tamás Kiss]

I have a use-case which I am hoping to solve with Hugin and optimize it.
I have digital telescope which is move motorized hence able to capture
very large panoramas, max size is 3481 ( 59 * 59 ) images in 1920*1080
or even 3840*2160. ( about 5% overlap )

The current recommendation from the manufacturer is to use ICE but
that's a windows only and non maintained software
https://help.dwarflab.com/en-US/panorama-feature--user-guide-213640

However there is one element of ICE which they got right and I hope to
see in Hugin too, and that's the "Structured panoramas", in a nutshell
based on file names, or shoot time it is able to already knows which
images will overlap, and only try to find control points between those.
This speeds up the process significantly, and reduces the memory
footprint, the cpu load etc etc.

Is this possible in Hugin, or will be anytime soon, as for now my
panoramas are just sitting idle waiting to be assembled.

[Marius Loots]

Hallo Tamás

I am sure there will be a better answer, as I am not an expert with
regards the extended functionality of Hugin.

I have however, done something similar with microscope images. My
problem was that there was so much similarity between different images
that I spend too much time removing incorrect matches. This can be
solved by writing a command line script that instruct hugin to only
compare images that are adjacent to each other. There might be an
easier way, but I used a spreadsheet to create the different macro
steps needed for different xy grid combinations. I finally settled on
a set of scripts which covered most use cases.

I hope this help.

Groetnis
Marius
mailto:marius...@up.ac.za
BMedSci (Hons) UP, PGCHE (UP) HCM (FPD)

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[T. Modes]

Hi Tamas,

KissT schrieb am Mittwoch, 11. Oktober 2023 um 20:11:20 UTC+2:

Is this possible in Hugin, or will be anytime soon, as for now my
panoramas are just sitting idle waiting to be assembled.

This is already possible. First set the initial positions of the images either with a template or with pto_var (and the shooting pattern).

Then run cpfind --prealigned ...

see e.g. https://groups.google.com/g/hugin-ptx/c/Af7TG2Bq-ko for a similar use case (pano from drone)

Thomas