Issue No. 01 - January (1990 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.41381
<p>A method for the determination of camera location from two-dimensional (2-D) to three-dimensional (3-D) straight line or point correspondences is presented. With this method, the computations of the rotation matrix and the translation vector of the camera are separable. First, the rotation matrix is found by a linear algorithm using eight or more line correspondences, or by a nonlinear algorithm using three or more line correspondences, where the line correspondences are either given or derived from point correspondences. Then, the translation vector is obtained by solving a set of linear equations based on three or more line correspondences, or two or more point correspondences. Eight 2-D to 3-D line correspondences or six 2-D to 3-D point correspondences are needed for the linear approach; three 2-D to 3-D line or point correspondences for the nonlinear approach. Good results can be obtained in the presence of noise if more than the minimum required number of correspondences are used.</p>
picture processing; pattern recognition; 2D line correspondences; 3D line correspondences; camera location; point correspondences; rotation matrix; translation vector; pattern recognition; picture processing
O. Faugeras, Y. Liu and T. Huang, "Determination of Camera Location from 2-D to 3-D Line and Point Correspondences," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 12, no. , pp. 28-37, 1990.