Merge pull request #28823 from s-trinh:fix_apriltag_corners_order_update_doc

[OpenCV 5] Fix apriltag corners order and update the doc #28823

I have updated documentation for the AprilTag dictionaries.

Corresponding issues:
- https://github.com/opencv/opencv-python/issues/1195
- https://stackoverflow.com/questions/79044142/why-is-the-order-of-the-incoming-corners-different-between-apriltag-and-aruco-ma

This is a breaking change and is targeted only for OpenCV 5.

---

I have updated the ArUco doc with more information about fiducial markers detection.
I have tried to add some recommendations, best practices:
-  `DICT_ARUCO_MIP_36h12` should be the recommended family, [see](https://stackoverflow.com/a/51511558)
- link to download pregenerated markers for `MIP_36h12` is [here](https://sourceforge.net/projects/aruco/files/. I have not found some other official links for the other ArUco family, but since `MIP_36h12` should be used, I guess it is fined.
- recommendation to have a white border when printing the marker

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

modules/objdetect/include/opencv2/objdetect.hpp

@@ -74,7 +74,7 @@
 
         The implementation is based on the ArUco Library by R. Muñoz-Salinas and S. Garrido-Jurado @cite Aruco2014.
 
-        Markers can also be detected based on the AprilTag 2 @cite wang2016iros fiducial detection method.
+        Markers can also be detected based on the AprilTag 2 @cite wang2016iros fiducial marker detection method.
 
         @sa @cite Aruco2014
         This code has been originally developed by Sergio Garrido-Jurado as a project
@@ -136,7 +136,7 @@
 
         To estimate the marker pose with respect to the camera frame, we recommend you to look at the following sources of information:
           - @ref tutorial_aruco_detection for a tutorial about ArUco markers detection
-          - @ref calib for some theoretical background about the pinhole camera model and the @ref calib3d_solvePnP page
+          - @ref _3d for some theoretical background about the pinhole camera model and the @ref calib3d_solvePnP page
           - @ref solvePnP, @ref solvePnPGeneric, @ref solveP3P for the relevant pose estimation methods
     @}