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Overview
========
-This section explains how to build augmented reality pipelines based on ArUco Markers technology for various use cases.
+This section explains how to build augmented reality pipelines based on [ArUco Markers technology](https://www.sciencedirect.com/science/article/abs/pii/S0031320314000235) for various use cases.
-The OpenCV library provides a module to detect fiducial markers into a picture and estimate their poses (cf [OpenCV ArUco tutorial page](https://docs.opencv.org/4.x/d5/dae/tutorial_aruco_detection.html)).
+The OpenCV library provides a module to detect fiducial markers into a picture and estimate their poses.
-![OpenCV ArUco markers](https://pyimagesearch.com/wp-content/uploads/2020/12/aruco_generate_tags_header.png)
+![OpenCV ArUco markers](../../img/opencv_aruco.png)
The ArGaze [ArUcoMarkers submodule](../../argaze.md/#argaze.ArUcoMarkers) eases markers creation, markers detection and 3D scene pose estimation through a set of high level classes.