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author | Théo de la Hogue | 2023-11-07 15:54:45 +0100 |
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committer | Théo de la Hogue | 2023-11-07 15:54:45 +0100 |
commit | 78ce6ffc892ef7d64a8d1da0dbdfcbf34d214bbd (patch) | |
tree | 4509c14aa1800d2666c50c47549a044e5a6c11d0 /docs/user_guide/aruco_markers_pipeline/introduction.md | |
parent | bc9257268bb54ea68f777cbb853dc6498274dd99 (diff) | |
parent | f8b1a36c9e486ef19f62159475b9bf19a5b90a03 (diff) | |
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Merge branch 'master' of ssh://git.recherche.enac.fr/interne-ihm-aero/eye-tracking/argaze
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diff --git a/docs/user_guide/aruco_markers_pipeline/introduction.md b/docs/user_guide/aruco_markers_pipeline/introduction.md index 836569a..37ab055 100644 --- a/docs/user_guide/aruco_markers_pipeline/introduction.md +++ b/docs/user_guide/aruco_markers_pipeline/introduction.md @@ -1,29 +1,29 @@ 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, optic calibration, markers detection and 3D scene pose estimation through a set of high level classes. +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. -First, let's look at the schema below: it gives an overview of the main notions involved in the following chapters. +<!-- 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) +<!-- ![ArUco markers pipeline](../../img/aruco_markers_pipeline.png) --> To build your own ArUco markers pipeline, you need to know: * [How to setup ArUco markers into a scene](aruco_markers_description.md), -* [How to describe scene's AOI](aoi_description.md), * [How to load and execute ArUco markers pipeline](configuration_and_execution.md), * [How to estimate scene pose](pose_estimation.md), -* [How to project AOI into camera frame](aoi_projection.md), -* [How to visualize ArUcoCamera and ArUcoScenes](visualisation.md) +* [How to describe scene's AOI](aoi_3d_description.md), +* [How to project 3D AOI into camera frame](aoi_3d_projection.md), +* [How to define a 3D AOI as a frame](aoi_3d_frame.md). More advanced features are also explained like: -* [How to script ArUco markers pipeline](advanced_topics/scripting.md) -* [How to calibrate optic parameters](optic_parameters_calibration.md) -* [How to improve ArUco markers detection](advanced_topics/aruco_detector_configuration.md) +* [How to script ArUco markers pipeline](advanced_topics/scripting.md), +* [How to calibrate optic parameters](advanced_topics/optic_parameters_calibration.md), +* [How to improve ArUco markers detection](advanced_topics/aruco_detector_configuration.md). |