Automating multi-camera self-calibration

We demonstrate a convenient and accurate method for fully automatic camera calibration. The method needs at least two cameras and one projector to function, but the cameras need not to be synchronized. By projecting a predefined black and white sequence into the cameras´ field of view a large number of individual points are tagged by a binary bit sequence over time. This solves the correspondence problem among the adjacent views and furthermore allows for Forward Error Correction (FEC) yielding a dense error free and subpixel accurate point cloud which is used for internal and external camera calibration. Experimental results and comparison with varying permutations of the projection sequence are given at the end of this paper. Finally, the method gives instant feedback to the user as the resulting calibration point cloud is in fact a 3D scan of the arbitrary calibration scene which can be easily visualized.