A New Camera Calibration Method Based on Orientation Points in Digital Close-Range Industrial Photogrammetry

In order to solve the restriction of the two common calibration modes applied in digital close-range industrial photogrammetry, a new camera calibration method based on orientation points was proposed. Firstly, image sequences were obtained applying a calibration plate with five orientation points. The ellipse detection criteria were applied to eliminate the redundant information from images after pretreatment and all target points was determined as well. Then according to the special geometric relationship between orientation points, target points were matched exactly from object space to image space. Finally camera parameters were solved and optimized by the Gauss-Newton algorithm. In laboratory, the proposed theory was proved robust in Matlab2010 and could meet the measurement accuracy requirements.