ArUco Marker Pose Estimation and Detection in Real-Time using OpenCV Python
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ArUco markers (or April Tags) are a great option for 6d object pose estimation and general 3D object detection, especially when you have the capacity to place markers. They are accurate, easy to use and good for real-time applications. They are robust to varying lighting conditions and even partial occlusion. Let’s dive in and learn more them!
0:00 Introduction
0:52 What are ArUco markers?
1:12 Why use ArUco markers?
1:38 How do ArUco markers work (ArUco Dictionaries)?
4:08 How to choose the right ArUco dictionary type? (Aruco and April Tags)
4:51 Code Architecture
5:28 Code Demo: Generate ArUco markers
6:04 Code Demo: ArUco marker detection and pose estimation
Music: https://www.bensound.com
License code: VJ16UIB5DEZLU4OJ
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