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Merge pull request #25308 from dkurt:not_normalized_findHomography
Not-normalized output from findHomography #25308 ### Pull Request Readiness Checklist resolves https://github.com/opencv/opencv/issues/25133 resolves https://github.com/opencv/opencv/issues/4834 resolves https://github.com/opencv/opencv/issues/22166 resolves https://github.com/opencv/opencv/issues/18592 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
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@@ -726,8 +726,8 @@ correctly only when there are more than 50% of inliers. Finally, if there are no
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noise is rather small, use the default method (method=0).
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The function is used to find initial intrinsic and extrinsic matrices. Homography matrix is
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determined up to a scale. Thus, it is normalized so that \f$h_{33}=1\f$. Note that whenever an \f$H\f$ matrix
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cannot be estimated, an empty one will be returned.
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determined up to a scale. If \f$h_{33}\f$ is non-zero, the matrix is normalized so that \f$h_{33}=1\f$.
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@note Whenever an \f$H\f$ matrix cannot be estimated, an empty one will be returned.
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@sa
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getAffineTransform, estimateAffine2D, estimateAffinePartial2D, getPerspectiveTransform, warpPerspective,
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