A calibration algorithm for POX-Slits camera

Recent developments have suggested alternative multiperspective camera models potentially advantageous for the analysis of the scene structure. Two-slit cameras are one such case. These cameras collect all rays passing through two lines. The projection model for these cameras is non-linear, and in this model every 3D point is projected by a line that passes through that point and intersects two slits. In this paper we propose a robust non-iterative linear method for the calibration of this type of cameras. For that purpose a calibrating object with known dimensions is required. A solution for the calibration can be obtained using at least thirteen world to image correspondences. To achieve a higher level of accuracy data normalization and a non-linear technique based on the maximum likelihood criterion can be used to refine the estimated solution.