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use the same approach like in fisheye calibration: instead of setting masked out rows to zero, remove them from the equation system. This way JtJ does not become singular and we can use the much faster LU decomposition instead of SVD. This results in a speedup of the Calibrate unit tests of 3x-10x. |
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| 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/Itseez/opencv/issues
Contributing
Please read before starting work on a pull request: https://github.com/Itseez/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.