How Robots See the World: OpenCV ArUco Pose Estimation & AR Demo

Опубликовано: 20 Июль 2026
на канале: RoboStarterLab
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In this project, I demonstrate a complete computer vision pipeline using OpenCV and ArUco markers.

✅ Marker Detection
✅ Camera Calibration
✅ Pose Estimation
✅ Relative Pose Estimation
✅ Augmented Reality Cube Overlay

The system estimates the position and orientation of ArUco markers in real time and visualizes the results with 3D augmented reality objects.

Technologies used:

OpenCV
ArUco Markers
C++
Computer Vision
Camera Calibration
Augmented Reality

If you're interested in Robotics, SLAM, Computer Vision, or AR applications, this project provides a practical demonstration of the fundamental techniques behind spatial perception.

#OpenCV #ComputerVision #Robotics #ArUco #PoseEstimation #AugmentedReality #Cplusplus #RobotVision #AI #Engineering