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Diffstat (limited to 'docs/user_guide/aruco_markers_pipeline/introduction.md')
-rw-r--r-- | docs/user_guide/aruco_markers_pipeline/introduction.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/user_guide/aruco_markers_pipeline/introduction.md b/docs/user_guide/aruco_markers_pipeline/introduction.md index 26294f7..a83da9a 100644 --- a/docs/user_guide/aruco_markers_pipeline/introduction.md +++ b/docs/user_guide/aruco_markers_pipeline/introduction.md @@ -9,16 +9,16 @@ The OpenCV library provides a module to detect fiducial markers into a picture a 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) --> 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_3d_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) |