A fully projective formulation to improve the accuracy of lowe’s pose-estimation algorithm

Both the original version of David Lowe's influential and classic algorithm for tracking known objects and a reformulation of it implemented by Ishii et al. rely on (different) approximated imaging models. Removing their simplifying assumptions yields a fully projective solution with significantly improved accuracy and convergence, and arguably better computation--time properties.