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binary calibration pattern with XY recoverable features

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

Can anybody help me - does this pattern actually exist? If so, it would be great to have a name that I can search for / some code to look at / a library

Thank you Elliot

binary calibration pattern with XY recoverable features

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

image description

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

Can anybody help me - does this pattern actually exist? If so, it would be great to have a name that I can search for / some code to look at / a library

Thank you Elliot

binary calibration pattern with XY recoverable features

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

image description

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

Can anybody help me - does It seems tat this pattern actually exist? If so, it would is what is being used in the Project Northstar calibration:

image description

I might be great to have a name that I can search for / some code to look at / a librarymisunderstanding though

Thank you Elliot

binary calibration pattern with XY recoverable features

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:

image description

I might be misunderstanding though

Thank you you

Elliot