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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

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
主期刊名2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
出版商Institute of Electrical and Electronics Engineers Inc.
537-541
页数5
ISBN(电子版)9781538616451
DOI
出版状态已出版 - 27 11月 2017
活动2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, 加拿大
期限: 5 10月 20178 10月 2017

出版系列

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

会议

会议2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
国家/地区加拿大
Banff
时期5/10/178/10/17

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