  In many scenarios where cameras are applied, such as robot positioning and
unmanned driving, camera calibration is one of the most important pre-work. The
interactive calibration method based on the plane board is becoming popular in
camera calibration field due to its repeatability and operation advantages.
However, the existing methods select suggestions from a fixed dataset of
pre-defined poses based on subjective experience, which leads to a certain
degree of one-sidedness. Moreover, they does not give users clear instructions
on how to place the board in the specified pose.
