OpenCV: Detection of ArUco MarkersPose estimation is of great importance in many computer vision applications: robot navigation, augmented reality, and many more. This process is based on finding correspondences between points in the real environment and their 2d image projection. This is usually a difficult step, and thus it is common the use of synthetic or fiducial markers to make it easier. One of the most popular approach is
龍 lilea / Ryo Fujiwara on Twitter: "電車のスピードでもリアルタイムにこのオクルージョン！ 手などの近景はデプスでマスクし、遠景は画像ベースでマスクしてる印象。 遠景オクルージョンには開発者のAidan_Wolf氏いわく専用のCVコードを書いてるとのこと。… https://t.co/tUTt8Z61Pt"
