From 3b8681b848fd91989a03d0ff6a03c7deaec4addd Mon Sep 17 00:00:00 2001
From: Théo de la Hogue
Date: Wed, 6 Sep 2023 08:34:32 +0200
Subject: Renaming folder.

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+Overview
+========
+
+This section explains how to build augmented reality pipelines based on ArUco Markers technology 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)).
+
+![OpenCV ArUco markers](https://pyimagesearch.com/wp-content/uploads/2020/12/aruco_generate_tags_header.png)
+
+The ArGaze [ArUcoMarkers submodule](../../argaze.md/#argaze.ArUcoMarkers) eases markers creation, optic calibration, markers detection and 3D scene pose estimation through a set of high level classes.
+
+First, let's look at the schema below: it gives an overview of the main notions involved in the following chapters.
+
+![ArUco markers pipeline](../../img/aruco_markers_pipeline.png)
+
+To build your own ArUco markers pipeline, you need to know:
+
+* [How to build an ArUco markers scene](aruco_scene_creation.md),
+* [How to calibrate optic parameters](optic_parameters_calibration.md),
+* [How to deal with an ArUcoCamera instance](aruco_camera_configuration_and_execution.md),
+* [How to add ArScene instance](ar_scene.md),
+* [How to visualize ArCamera and ArScenes](visualisation.md)
+
+More advanced features are also explained like:
+
+* [How to script ArUco markers pipeline](advanced_topics/scripting.md)
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