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Image Matching Algorithm based on ORB and K-Means Clustering

  • Liye Zhang
  • , Fudong Cai
  • , Jinjun Wang
  • , Changfeng Lv
  • , Wei Liu
  • , Guoxin Guo
  • , Huanyun Liu
  • , Yixin Xing
  • Xi'an Jiaotong University
  • Electric Power Automation Division
  • Jinan Xintongda Electronic Technology Co. Ltd
  • Shandong University of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

With the rapid development of science and technology, image processing technology plays an important role in the field of computer vision. In order to improve the matching speed and real-time requirements, this paper proposes an image matching algorithm based on ORB and K-means clustering, which can effectively improve the accuracy of image feature point location and the accuracy and efficiency of image feature matching, and reduce the time consumption. The algorithm uses sub-pixel interpolation to optimize the traditional ORB algorithm, which improves the accuracy and characteristics of clustering calculation.

源语言英语
主期刊名Proceedings - 2020 5th International Conference on Information Science, Computer Technology and Transportation, ISCTT 2020
出版商Institute of Electrical and Electronics Engineers Inc.
460-464
页数5
ISBN(电子版)9781728185750
DOI
出版状态已出版 - 11月 2020
活动5th International Conference on Information Science, Computer Technology and Transportation, ISCTT 2020 - Shenyang, 中国
期限: 13 11月 202015 11月 2020

出版系列

姓名Proceedings - 2020 5th International Conference on Information Science, Computer Technology and Transportation, ISCTT 2020

会议

会议5th International Conference on Information Science, Computer Technology and Transportation, ISCTT 2020
国家/地区中国
Shenyang
时期13/11/2015/11/20

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