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Merge pull request #28824 from s-trinh:update_ArUco_doc

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Update ArUco doc #28824

See https://github.com/opencv/opencv/pull/28823

Update of the ArUco doc but targeted for OpenCV 4.

### 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
This commit is contained in:
s-trinh
2026-05-20 14:05:51 +02:00
committed by GitHub
parent 7c7ee97493
commit 0abd5c86f7
26 changed files with 99 additions and 23 deletions
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doc/tutorials/tutorials.markdown
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@@ -6,7 +6,7 @@ OpenCV Tutorials {#tutorial_root}
- @subpage tutorial_table_of_content_imgproc - image processing functions
- @subpage tutorial_table_of_content_app - application utils (GUI, image/video input/output)
- @subpage tutorial_table_of_content_calib3d - extract 3D world information from 2D images
- @subpage tutorial_table_of_content_objdetect - INSERT OBJDETECT MODULE INFO
- @subpage tutorial_table_of_content_objdetect - detect ArUco markers and other calibration boards
- @subpage tutorial_table_of_content_features2d - feature detectors, descriptors and matching framework
- @subpage tutorial_table_of_content_dnn - infer neural networks using built-in _dnn_ module
- @subpage tutorial_table_of_content_gapi - graph-based approach to computer vision algorithms building