Skip to main navigation Skip to search Skip to main content

Research on the Method of Position Recognition of Titanium Alloy Pipeline Weld

  • Cheng Wang
  • , Ziyu Wang
  • , Jizhou Liu
  • , Mingli Ding
  • , Yongqiang Li

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

Abstract

Aiming at the problem of space pose recognition of titanium alloy pipe weld, this paper designs a pose recognition method based on the combination of ORB and RANSAC algorithm. First of all, preprocess the collected image, then detect the significant feature points in the image quickly, assign the direction to the feature points, and finally match the left and right two images of binocular vision system to realize pose recognition. The experimental results show that compared with SIFT and SURF, the recognition accuracy and efficiency of the designed method are significantly improved.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages743-746
Number of pages4
ISBN (Electronic)9781728165202
DOIs
StatePublished - Aug 2020
Event2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020 - Dalian, China
Duration: 25 Aug 202027 Aug 2020

Publication series

NameProceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

Conference

Conference2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
Country/TerritoryChina
CityDalian
Period25/08/2027/08/20

Keywords

  • ORB algorithm
  • RANSAC algorithm
  • feature matching
  • weld recognition

Fingerprint

Dive into the research topics of 'Research on the Method of Position Recognition of Titanium Alloy Pipeline Weld'. Together they form a unique fingerprint.

Cite this