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Robust affine registration based on corner point guided ICP algorithm

  • Liyang Wu
  • , Lei Xiong
  • , Duyan Bi
  • , Ting Fang
  • , Shaoyi Du
  • , Wenting Cui
  • Air Force Engineering University Xian
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The traditional affine iterative closest point (ICP) algorithm is fast and accurate for affine registration between two point sets, but it is easy to fall into local minimum. This paper proposes a robust Affine ICP algorithm based on corner points. First, an objective function is established under the guidance of corner points, where the corner points as the shape control point guides the affine registration of 2D point sets. Then, at each step of the algorithm, the affine transformation obtained by the last iterative step is used to establish the correspondence of these two point sets. Next, the new affine transformation is solved by using the objective function under the guidance of the corner points. Experimental results demonstrate that the robustness and convergence of our algorithm are greatly improved compared with the traditional affine registration algorithm.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages537-541
Number of pages5
ISBN (Electronic)9781538616451
DOIs
StatePublished - 27 Nov 2017
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 5 Oct 20178 Oct 2017

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Conference

Conference2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/TerritoryCanada
CityBanff
Period5/10/178/10/17

Keywords

  • Affine registration
  • Corner points
  • Iterative closest point

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