A Chinese Chessboard Calibration Method in Chess-Playing Robot by Machine Vision Sensing

Abstract

In view of Chessboard calibration in Chess-Playing Robot by machine vision sensing, a new Chinese chessboard calibration method based on external aided planar pattern is given. Introducing the advantages of the international chessboard calibration technology, which can overcome the difficulties of lens distortion imaging and non-orthographic projective imaging in which cases the former calibration methods can’t be used. This method aligns the planar calibration pattern to the chessboard in such a way that we can get the chessboard grid points’ Image-Coordinate-System coordinates by detecting the planar pattern’s corners and obtain the mapping of a group of points’ s World-Coordinate-System coordinates and Image-Coordinate-System coordinates, which is easy to operate and robust to noises. Workpiece location by machine vision methods in industrial application also faces the problems of lens distortion imaging and non-orthographic projective imaging, so it would be beneficial to introduce this method’s idea into industrial areas.