binary calibration pattern with XY recoverable features

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Hi all

I think I've seen this before, but it is also possible that such a thing does not exist and that I'm mistaken.

I'm looking for a calibration pattern which looks like low resolution binary noise. e.g. 64x64 pixels of {1,0} values It's like a continuous AR marker

When a camera (or other projection) image is taken of the pattern, it is then possible to discover for each pixel in the camera the XY position within the pattern. I.e. it's a type of static structured light.

I presume: 1. It's not actually noise, but is designed to be unique at each area (like an AR marker is unique per marker) 2. It might be possible to do something similar with using actual noise and SIFT/similar - but that doesn't sound optimal

It seems tat this is what is being used in the Project Northstar calibration:

I might be misunderstanding though

Thank you

Elliot