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Description
Hi,
we have a few datasets that require rotating individual tiles. To achieve this while maintaining their absolute position, I am applying the following transformation strategy:
- translate the tile by minus half its size to have the center at the origin.
- apply rotation matrix
- translate the tile by plus half its size to have the center back at the correct coordinates.
- translate tile to absolute position
This seems to screw up how the PointMatch Client finds its features. They seem only to be only placed in part of the image (indeed looks like the upper left quarter (consistent with the moves) and there are no useful matches found at all. For visualization purposes, I ran a MatchTrial without filtering for consensus sets.
It also screws up a stack where no rotation is applied, so basically just a translation back and forth. Why should this even be considered by the PointMatch Client? Is it considering the first transformation? Doesn't it just look at the pixel values of the images?
I have no idea what goes on, all other stack and tile parameters look sane to me.
Thanks for checking!

