opencv/modules/objdetect/doc/objdetect.bib
Alexander Panov b4b35cff15
Merge pull request #22368 from AleksandrPanov:move_contrib_aruco_to_main_objdetect
Megre together with https://github.com/opencv/opencv_contrib/pull/3325

1. Move aruco_detector, aruco_board, aruco_dictionary, aruco_utils to objdetect
1.1 add virtual Board::draw(), virtual ~Board()
1.2 move `testCharucoCornersCollinear` to Board classes (and rename to `checkCharucoCornersCollinear`)
1.3 add wrappers to keep the old api working
3. Reduce inludes
4. Fix java tests (add objdetect import)
5. Refactoring

### 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
- [x] 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

```
**WIP**
force_builders=linux,win64,docs,Linux x64 Debug,Custom
Xbuild_contrib:Docs=OFF

build_image:Custom=ubuntu:22.04
build_worker:Custom=linux-1
```
2022-12-16 12:28:47 +03:00

21 lines
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BibTeX

@article{Aruco2014,
author = {S. Garrido-Jurado and R. Mu\~noz-Salinas and F.J. Madrid-Cuevas and M.J. Mar\'in-Jim\'enez}
title = {Automatic generation and detection of highly reliable fiducial markers under occlusion},
year = {2014},
pages = {2280 - 2292},
journal = {Pattern Recognition},
volume = {47},
number = {6},
issn = {0031-3203},
doi = {http://dx.doi.org/10.1016/j.patcog.2014.01.005},
url = {http://www.sciencedirect.com/science/article/pii/S0031320314000235}
}
@inproceedings{wang2016iros,
author = {John Wang and Edwin Olson},
title = {{AprilTag} 2: Efficient and robust fiducial detection},
booktitle = {Proceedings of the {IEEE/RSJ} International Conference on Intelligent Robots and Systems {(IROS)}},
year = {2016},
month = {October}
}