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 | 1 | initial version |
One important measure is the reprojection error of your calibration targets. If you do a standard calibration, you get the internal camera matrix and the relative pose for all targets to the camera. You can then use this information to project all patterns into your images and check if the projected point is close to its former detection. (this mse of theses pixel distances is also the return value of calibrateCamera)
| | 2 | No.2 Revision |
One important measure is the reprojection error of your calibration targets. If you do a standard calibration, you get the internal camera matrix and the relative pose for all targets to the camera. You can then use this information to project all patterns into your images and check if the projected point is close to its former detection. (this mse of theses pixel distances is also the return value of calibrateCamera)
A good calibration is well below 1 px as a rule of thumb.
| | 3 | No.3 Revision |
One important measure is the reprojection error of your calibration targets. If you do a standard calibration, you get the internal camera matrix and the relative pose for all targets to the camera. You can then use this information to project all patterns into your images and check if the projected point is close to its former detection. (this mse (the rmse of theses pixel distances is also the return value of calibrateCamera)
A good calibration is well below 1 px as a rule of thumb.
