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-rw-r--r--docs/user_guide/aruco_markers_pipeline/introduction.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/user_guide/aruco_markers_pipeline/introduction.md b/docs/user_guide/aruco_markers_pipeline/introduction.md
index f781fe8..dd82900 100644
--- a/docs/user_guide/aruco_markers_pipeline/introduction.md
+++ b/docs/user_guide/aruco_markers_pipeline/introduction.md
@@ -7,7 +7,7 @@ The OpenCV library provides a module to detect fiducial markers into a picture a
![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.
+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.
@@ -19,8 +19,8 @@ To build your own ArUco markers pipeline, you need to know:
* [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 project AOI into camera frame](aoi_projection.md),
+* [How to define an AOI as a frame](aoi_frame.md)
More advanced features are also explained like: