In structured light vision measurement, it is vital to keep the measurement system stable because the system organization
determines some important parameters used in 3D reconstruction. Aimed at this feature, a new camera calibration
method is presented in the paper. This method utilizes a digital guide and a planar pattern to construct a visual 3D target.
Through linear transformation and nonlinear optimization, the extrinsic and intrinsic camera parameters can be obtained
iteratively. This method combines the merits of 3D pattern with planar pattern. The procedure of calibration is simple
and convenient. The result is accurate by this method and meets the need of structured light vision measurement.