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Image digital zoom based single target apriltag recognition algorithm in large scale changes on the distance

  • Beihang University

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

Abstract

Aiming at the problems of the existing Apriltag detection and recognition algorithm, such as complex targets, low efficiency and poor recognition accuracy, an improved single Apriltag recognition algorithm based on image digital zoom is proposed in this paper. The algorithm achieves automatic digital zoom by changing the area ratio of a single Apriltag in the field and the display resolution of the view, which effectively simplifies the recognition target, reduces the complexity of the algorithm, and improves the efficiency of target detection and recognition. The experimental results show that the algorithm proposed in this paper can realize the high efficiency and high accuracy of Apriltag detection and recognition under different distances in large scale, and the continuity of position data output can be ensured before and after zoom, which can meet the real-Time and accuracy requirements of UAV positioning during landing.

Original languageEnglish
Title of host publication1st International Conference on Industrial Artificial Intelligence, IAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728135939
DOIs
StatePublished - Jul 2019
Event1st International Conference on Industrial Artificial Intelligence, IAI 2019 - Shenyang, China
Duration: 22 Jul 201926 Jul 2019

Publication series

Name1st International Conference on Industrial Artificial Intelligence, IAI 2019

Conference

Conference1st International Conference on Industrial Artificial Intelligence, IAI 2019
Country/TerritoryChina
CityShenyang
Period22/07/1926/07/19

Keywords

  • Apriltag detection
  • Digital zoom
  • Machine vision
  • Target recognition

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