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Multiscale Inverse Compositional Alignment for Subdivision Surface Maps

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3021)

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.

Keywords

Template Match Subdivision Surface Surface Template Control Vertex Template Match Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  1. 1.University of MichiganAnn ArborUSA

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