Recently I watched a show on Chaos theory.  Prior to this theory being 
implemented, the geometric shape was stuck in a simple solid world.

>From what I understand Hugin uses backend programs that also implement photo 
>manipulation in a solid shape world, ie (spheres, etc.)

I imagine the ability to take any set of photos and use them in a not so set 
simple solid world.  For example, the current layout is cylindrical, sphere, 
etc.

Let's take a set of photos from the general vantage point and "stretch" them to 
fit an irregular solid.  Essentially this can be done in gimp to some degree 
know using skew, and etc.

If I have a flat plane of water, place a tissue on it, it will sit there flat.  
I can stretch it upon that plane if needed.  Drop a pebble in the water and the 
tissue will conform to the waves created by the pebble, matching the water.  
Pick the tissue up and drape it over a bush, and plane becomes irregular.  None 
of the points have changed, only their position in their plane.  Take several 
sheets and do the same, (photos) matching the points of each photo, and no 
longer does it require perfect nodal points.

In addition, I think hugin as a community needs to consider looking at the math 
and new algorythms for not only control points but also photo matching and 
plane geometory.  In the case of photo matching, I've not understood what is 
holding back the idea of matching photos first based upon "areas" unique and 
similar by color/shape.  The algorytym needs to look at general shapes 
(irregular) and color and then match them over the course of the photo.  We do 
this all the time.  Take a set of 10 photos and print them out and lay them on 
the floor.  You'll find you can match them pretty quickly.  We don't do this by 
points, we do this by recognizing one shape looks like and is in the same or 
similar color as one next to it.  A puzzle organization.  Which in fact is done 
when putting togather large jigsaw puzzles.

Something like, look at color, caculate area, perimeter, match shape, etc.

And lastly the ability to break free from simple shapes allows photo matching 
to go beyond simple panoramos into mega panoramas, such as long linear 
panorama's or mapping.  By not constricting the shape of the container for the 
panorama, and basing it on edge to edge shape and color, linear and large map 
panoramas become easy.

Enough of my rambling.

Dale

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