* Use `nth_element()` to find the median instead of `sort()` in `LMeDSPointSetRegistrator::run()` * Improves performance of this part of LMedS from `n log(n)` to `n` by avoiding doing a full sort. * Makes LMedS 2x faster for 100 points, 4x faster for 5,000 points in `EstimateAffine2D()`. * LMedS is now never more than 2x slower than RANSAC and is faster in some cases. |
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| .github | ||
| 3rdparty | ||
| apps | ||
| cmake | ||
| data | ||
| doc | ||
| include | ||
| modules | ||
| platforms | ||
| samples | ||
| .gitattributes | ||
| .gitignore | ||
| .tgitconfig | ||
| CMakeLists.txt | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| README.md | ||
OpenCV: Open Source Computer Vision Library
Resources
- Homepage: http://opencv.org
- Docs: http://docs.opencv.org/master/
- Q&A forum: http://answers.opencv.org
- Issue tracking: https://github.com/opencv/opencv/issues
Contributing
Please read before starting work on a pull request: https://github.com/opencv/opencv/wiki/How_to_contribute
Summary of guidelines:
- One pull request per issue;
- Choose the right base branch;
- Include tests and documentation;
- Clean up "oops" commits before submitting;
- Follow the coding style guide.