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Hi,

I've got an algorithm that calculates the homography of a number of markers in a single image, using findHomography. This works fine, but due to the size of the markers/resolution of the images, the homography has a tendency to be fairly inaccurate. I'd love to find a way to improve this.

I have a hypothesis that the fact that I know all the markers are on the same plane (they're on a table) should help improve the homography, but I don't know enough to put this in to practice. Can anyone give me any guidance on this?

Many thanks!

I've got an algorithm that calculates the homography of a number of markers in a single image, using OpenCV's findHomography. This works fine, but due to the size of the markers/resolution of the images, the homography has a tendency to be fairly inaccurate. rotation calculated is often quite inaccurate (mainly around the x and z axes of the marker, assuming y is up). I'd love to find a way to improve this.

I have a hypothesis that the fact that I know all the markers are on the same plane (they're on a table) should help improve the homography, homography - I then just need to work out the rotation of the marker around a single axis - but I don't know enough to put this in to practice. Can anyone give me any guidance on this?