Maybe not exactly related to that topic, but also about downsizing images.
It refers to searching for control points (especially in low light and blurry images)
1. Searching for control points (the selected mode, let's assume the standard CPfind)
2. if no CP found
Downsize images to 256 px*,
Save small images to Temp
Search again for CP (CPfind is searching again for similar shapes and colors)
3. if still no CP found in an image (but the rest are connected by CPs)
Exclude the unaligned image,
change projection to the selected**
apply the selected optimizing,
Stitch panorama (from normal size images)
Delete small images from Temp
* 256 px is an example. The images may be downsized gradually (half, half, half) but it will take more time
** projection refers mainly to the automatic stitching by the Assistant
In the current version, if one image is unaligned, the whole project fails. Projection is not set, Optimisation not performed.
The improvement (ignoring unaligned images) would make the work more successful .
What do you think about that?