Estimating rigid motions via the conformal model of Euclidean space

Estimating rigid motions from 3-D point correspondences and image projections is an important computer vision problem. We present a novel estimation algorithm using the recent conformal model of Euclidean space. We derive an origin independent semi-closed form for the optimal transformation, solving it using an SVD-based technique.