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Conference Paper

A Comparison of Shape Matching Methods for Contour Based Pose Estimation

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Rosenhahn,  Bodo
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Rosenhahn, B., Brox, T., Cremers, D., & Seidel, H.-P. (2006). A Comparison of Shape Matching Methods for Contour Based Pose Estimation. In Combinatorial image analysis : 11th International Workshop, IWCIA 2006 (pp. 263-276). Berlin, Germany: Springer.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-21CB-2
Abstract
In this paper, we analyze two conceptionally different approaches for shape matching: the well-known iterated closest point (ICP) algorithm and variational shape registration via level sets. For the latter, we suggest to use a numerical scheme which was introduced in the context of optic flow estimation. For the comparison, we focus on the application of shape matching in the context of pose estimation of 3-D objects by means of their silhouettes in stereo camera views. It turns out that both methods have their specific shortcomings. With the possibility of the pose estimation framework to combine correspondences from two different methods, we show that such a combination improves the stability and convergence behavior of the pose estimation algorithm. We gratefully acknowledge funding by the DFG project CR250/1 and the Max-Planck Center for visual computing and communication.