An Accurate Image Registration Method Using a Projective Transformation Model

Given a model structure, an input image and a reference image, the parametric registration task is to find a parameters vector (of the model) that transform the input image into the reference image. This paper reviews the general projective model and develops a new method of computing the set of image derivatives needed. It shows how the classical method reported in the literature is only accurate under translation, and it fails when other transformations are involved. Analytical derivations and experimental tests show the superior accuracy of the new method against the classical method.