Linear solutions for visual augmented reality registration

Correct registration of virtual objects into real scenes requires robust estimation of camera pose. Since most augmented reality applications also require real-time performance in potentially restricted environments with no a priori motion model, we seek pose estimation algorithms which are fast, perform well with few reference objects and require no initialization. We present a pair of linear pose estimation algorithms for arbitrary point and line correspondences and demonstrate their suitability for augmented reality applications.