A novel geometric approach for camera calibration

In this paper, we propose a novel geometric approach for solving camera calibration efficiently. Our camera calibration procedure is implemented on planar objects with rectangles on them. Images of the planar object are taken from different views where corner features are extracted. The geometric relationship between the rectangle corners is utilized to reduce the number of extrinsic unknown parameters. This process can further reduce the complexity of the optimization space greatly and thus enable our approach to be more accurate and more efficient than other geometric approaches. Experimental results on synthetic images and real images witness the advantage of our approach over state-of-the-art approaches.