OBJECT POSE - THE LINK BETWEEN WEAK PERSPECTIVE, PARAPERSPECTIVE, ANDFULL PERSPECTIVE

Recently, DeMenthon and Davis (1992, 1995) proposed a method for deter mining the pose of a 3-D object with respect to a camera from 3-D to 2 -D point correspondences. The method consists of iteratively improving the pose computed with a weak perspective camera model to converge, a t the limit, to a pose estimation computed with a perspective camera m odel. In this paper we give an algebraic derivation of DeMenthon and D avis' method and we show that it belongs to a larger class of methods where the perspective camera model is approximated either at zero orde r (weak perspective) or first order (paraperspective). We describe in detail an iterative paraperspective pose computation method for both n on coplanar and coplanar object points. We analyse the convergence of these methods and we conclude that the iterative paraperspective metho d (proposed in this paper) has better convergence properties than the iterative weak perspective method. We introduce a simple way of taking into account the orthogonality constraint associated with the rotatio n matrix. We analyse the sensitivity to camera calibration errors and we define the optimal experimental setup with respect to imprecise cam era calibration. We compare the results obtained with this method and with a non-linear optimization method.