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in reply to Re^2: Abstract image registration or feature detection
in thread Abstract image registration or feature detection [UPDATED w examples]

> the vectors between any two known_i and target_j point

I'm confused. Did you answer if you know which target point belongs to which source point or if you need to determine those "vectors"?

> Think of a reference version of a poster in an image authoring software vs. the same poster photographed with a potato camera, not necessarily from a head-on orientation.

Please take this for a start Camera Matrix

It's a 3x4 matrix I remembered 4x4, so there might be more.

Cheers Rolf
(addicted to the Perl Programming Language :)
Wikisyntax for the Monastery

  • Comment on Re^3: Abstract image registration or feature detection

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Re^4: Abstract image registration or feature detection
by kikuchiyo (Friar) on Jul 01, 2022 at 16:39 UTC

    It seems that we're not on the same page. A picture is worth a thousand words: https://imgur.com/KxH62Sa

    Each labeled red point from the reference image corresponds to the same labeled red point on the distorted image. And I know the coordinates for both. Similarly, one blue point on the reference image corresponds to one blue point on the distorted image, but I only know their coordinates on the reference, and I want to find them on the other.

      Thanks the image is much clearer.

      As I said, solve the linear equations° for the red pairs to determine the projection matrix. (well depending one the number of known pairs)

      Once you have the matrix you can pair the blue ones too.

      Cheers Rolf
      (addicted to the Perl Programming Language :)
      Wikisyntax for the Monastery

      update

      °) Linear_equation_system#Matrix_equation