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A comparison of shape matching methods for contour based pose estimation

  • Bodo Rosenhahn*
  • , Thomas Brox
  • , Daniel Cremers
  • , Hans Peter Seidel
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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.

Original languageEnglish
Title of host publicationCombinatorial Image Analysis
Subtitle of host publication11th International Workshop, IWCIA 2006, Proceedings
PublisherSpringer Verlag
Pages263-276
Number of pages14
ISBN (Print)3540351531, 9783540351535
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventCombinatorial Image Analysis - 11th International Workshop, IWCIA 2006 - Berlin, Germany
Duration: 19 Jun 200621 Jun 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4040 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceCombinatorial Image Analysis - 11th International Workshop, IWCIA 2006
Country/TerritoryGermany
CityBerlin
Period19 Jun 200621 Jun 2006

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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