Surface registration using extended polar maps

In this paper, we are presenting a new surface signature-based representation that is orientation-independent and can be used to match and align surfaces under rigid transformation including uniform scaling. The proposed scheme represents the surface signatures as extended polar maps. Correlation of the maps is used to establish point correspondences between two views; from these correspondences a rigid transformation, including uniform scaling, that aligns the views is calculated. The effectiveness of the proposed scheme is demonstrated through several registration experiments.