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Mobile MoCap

Mobile MoCap is a visual localization system that allows for 6DOF tracking of rigid bodies from affixed retroreflectors. Mobile MoCap is meant to be a more precise and robust alternative to popular fiducial tracking methods such as April Tag.

Mobile MoCap: Retroreflector Localization On-The-Go by Gary Lvov, Mark Zolotas, Nathaniel Hanson, Austin Allison, Xavier Hubbard, Michael Carvajal, and Taskin Padir has been accepted to the IEEE International Conference on Automation Science and Engineering (CASE), 2023!

Fast feature detection

Benchmark against April Tag

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