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  A Comparison of Shape Matching Methods for Contour Based Pose Estimation

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.

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 Creators:
Rosenhahn, Bodo1, Author           
Brox, Thomas, Author
Cremers, Daniel, Author
Seidel, Hans-Peter1, Author           
Reulke, Ralf, Editor
Eckhardt, Ulrich, Editor
Flach, Boris, Editor
Knauer, Uwe, Editor
Polthier, Konrad, Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 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.

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Language(s): eng - English
 Dates: 2007-02-252006
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314569
Other: Local-ID: C125675300671F7B-660A5F57E8AF1CABC125722D0051471C-RosenhahnIWCIA2006
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Title: Untitled Event
Place of Event: Berlin, Germany
Start-/End Date: 2006-06-19

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Title: Combinatorial image analysis : 11th International Workshop, IWCIA 2006
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 263 - 276 Identifier: ISBN: 3-540-35153-1

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 4040 Sequence Number: - Start / End Page: - Identifier: -