diff options
Diffstat (limited to 'docs/user_guide/aruco_marker_pipeline/introduction.md')
| -rw-r--r-- | docs/user_guide/aruco_marker_pipeline/introduction.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/user_guide/aruco_marker_pipeline/introduction.md b/docs/user_guide/aruco_marker_pipeline/introduction.md index 273de16..ef2e4da 100644 --- a/docs/user_guide/aruco_marker_pipeline/introduction.md +++ b/docs/user_guide/aruco_marker_pipeline/introduction.md @@ -1,7 +1,7 @@ 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. +This section explains how to build augmented reality pipelines based on [ArUco Marker technology](https://www.sciencedirect.com/science/article/abs/pii/S0031320314000235) for various use cases. The OpenCV library provides a module to detect fiducial markers in a picture and estimate their poses. @@ -15,11 +15,11 @@ First, let's look at the schema below. It gives an overview of the main notions To build your own ArUco marker pipeline, you need to know: -* [How to setup ArUco markers into a scene](aruco_markers_description.md), +* [How to setup ArUco markers into a scene](aruco_marker_description.md), * [How to load and execute ArUco marker pipeline](configuration_and_execution.md), -* [How to estimate scene pose](pose_estimation.md), -* [How to describe a scene's AOI](aoi_3d_description.md), -* [How to project 3D AOI into camera frame](aoi_3d_projection.md), +* [How to estimate the scene pose](pose_estimation.md), +* [How to describe the scene's AOI](aoi_3d_description.md), +* [How to project 3D AOI into the 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: |