diff options
Diffstat (limited to 'docs/user_guide/aruco_markers_pipeline/introduction.md')
| -rw-r--r-- | docs/user_guide/aruco_markers_pipeline/introduction.md | 29 |
1 files changed, 0 insertions, 29 deletions
diff --git a/docs/user_guide/aruco_markers_pipeline/introduction.md b/docs/user_guide/aruco_markers_pipeline/introduction.md deleted file mode 100644 index 94370f4..0000000 --- a/docs/user_guide/aruco_markers_pipeline/introduction.md +++ /dev/null @@ -1,29 +0,0 @@ -Overview -======== - -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. - - - -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. - - - -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 load and execute ArUco markers pipeline](configuration_and_execution.md), -* [How to estimate scene pose](pose_estimation.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](advanced_topics/optic_parameters_calibration.md), -* [How to improve ArUco markers detection](advanced_topics/aruco_detector_configuration.md). |