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type and size of calibration pattern for most accurate results


I want to use OpenCV for accurate measuring - so the first step should be the best camera calibration possible.
There are three types of camera calibration patterns:

  • chessboard
  • symmetric circles
  • asymmetric circles

Does anyone have some experience which type is the most accurate?
What is the advantage of sym and asym. circle pattern, if any?

Another important parameter is the relative size of the pattern in the camera image. Are there any rules for the minimum size? For example the pattern should cover 25% of the image or something like that?
Is there any minimum radius in pixels for the circles/width of the squares in the resulting image?