Camera calibration based on 3D-point-grid

Abstract

In this paper an effective technique of camera calibration based on a 3D-point-grid is presented. The properties of structured space points, defined as 3D-point-grid, and their relations under perspective transformation are analyzed. Upon the correspondence between these 3D-points and their image points a calibration is made not only to compute the parameters of camera model by a linear method simply from the independent points in 3D-point-grid but also to verify, modify and regulate extrinsic parameters of the orientation and position simultaneously from the structure constraint implied in these points. On the basis of the verification, modification and regulation the intrinsic parameters of camera can be computed with more objective criteria. Experimental results show the necessity and advantage of the verification and modification of the orientation and position parameters, and prove that our calibration technique can improve the accuracy of both extrinsic and intrinsic parameters greatly.