Multiscale inverse compositional alignment for subdivision surface maps

Abstract

We propose an efficient alignment method for textured Doo-Sabin subdivision surface templates. A variation of the inverse compositional image alignment is derived by introducing smooth adjustments in the parametric space of the surface and relating them to the control point increments. The convergence properties of the proposed method are improved by a coarse-to-fine multiscale matching. The method is applied to real-time tracking of specially marked surfaces from a single camera view. © Springer-Verlag 2004.