Research on Camera Calibration and Object Location Based on Planar Pattern of a Rectangle
This paper proposes a new approach for computing camera intrinsic parameters as well as the locations of objects.According to projective geometric and the orthogonality of rotation matrix,linear constrains on camera intrinsic parameters are set up via the absolute conic image ω and the images of rectangle vertexes.This paper turns object location into the recovery of camera extrinsic parameters,which can be computed directly from rectangle vertexes,instead of the homography between the image plane and the space plane.The main advantage of this new approach lies in avoiding the correspondences between images,and the algorithm is linear.The new approach is simple and efficient.Extensive tests with real images and synthetic images validate the proposed approach and show that it is accurate and robust to noise.