Global automatic detection method employing multi-level constraints for circular markers in high-speed videogrammetry

HIGHLIGHTS

• What: The authors propose a global automatic recognition and detection approach that employs multi-level constraints for identifying circular markers in high-speed videogrammetry.
• Who: Paper and colleagues from the Minjiang University, School of Geography and Oceanography, Fuzhou, China have published the article: Global automatic detection method employing multi-level constraints for circular markers in high-speed videogrammetry, in the Journal: (JOURNAL)
• How: As shown in Fig 1 two varieties of circular markers which have been extensively utilized in the previous studies were tested in this work. 3.1.1 Five-layer frame . . .
  

   

  

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