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Merge pull request #26094 from catree:fix_cameramatrix_doc_typo

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Fix typo with cameramatrix command for documentation
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Alexander Smorkalov 2024-09-02 09:34:13 +03:00 committed by GitHub
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2 changed files with 11 additions and 11 deletions
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2
doc/opencv.bib
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@ -1310,7 +1310,7 @@
title={RANSAC for Dummies With examples using the RANSAC toolbox for Matlab \& Octave and more...},
author={Marco Zuliani},
year={2014},
url = {https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.475.1243&rep=rep1&type=pdf}
url = {http://www.marcozuliani.com/docs/RANSAC4Dummies.pdf}
}
@inproceedings{forstner1987fast,
title={A fast operator for detection and precise location of distincs points, corners and center of circular features},

20
modules/calib3d/include/opencv2/calib3d.hpp
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@ -3805,7 +3805,7 @@ namespace fisheye
@param imagePoints Output array of image points, 2xN/Nx2 1-channel or 1xN/Nx1 2-channel, or
vector\<Point2f\>.
@param affine
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param K Camera intrinsic matrix \f$\cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param alpha The skew coefficient.
@param jacobian Optional output 2Nx15 jacobian matrix of derivatives of image points with respect
@ -3829,7 +3829,7 @@ namespace fisheye
@param undistorted Array of object points, 1xN/Nx1 2-channel (or vector\<Point2f\> ), where N is
the number of points in the view.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param K Camera intrinsic matrix \f$\cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param alpha The skew coefficient.
@param distorted Output array of image points, 1xN/Nx1 2-channel, or vector\<Point2f\> .
@ -3841,12 +3841,12 @@ namespace fisheye
CV_EXPORTS_W void distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0);
/** @overload
Overload of distortPoints function to handle cases when undistorted points are got with non-identity
Overload of distortPoints function to handle cases when undistorted points are obtained with non-identity
camera matrix, e.g. output of #estimateNewCameraMatrixForUndistortRectify.
@param undistorted Array of object points, 1xN/Nx1 2-channel (or vector\<Point2f\> ), where N is
the number of points in the view.
@param Kundistorted Camera intrinsic matrix used as new camera matrix for undistortion.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param K Camera intrinsic matrix \f$\cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param alpha The skew coefficient.
@param distorted Output array of image points, 1xN/Nx1 2-channel, or vector\<Point2f\> .
@ -3858,7 +3858,7 @@ namespace fisheye
@param distorted Array of object points, 1xN/Nx1 2-channel (or vector\<Point2f\> ), where N is the
number of points in the view.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param K Camera intrinsic matrix \f$\cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param R Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3
1-channel or 1x1 3-channel
@ -3873,7 +3873,7 @@ namespace fisheye
/** @brief Computes undistortion and rectification maps for image transform by #remap. If D is empty zero
distortion is used, if R or P is empty identity matrixes are used.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param K Camera intrinsic matrix \f$\cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param R Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3
1-channel or 1x1 3-channel
@ -3891,7 +3891,7 @@ namespace fisheye
@param distorted image with fisheye lens distortion.
@param undistorted Output image with compensated fisheye lens distortion.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param K Camera intrinsic matrix \f$\cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param Knew Camera intrinsic matrix of the distorted image. By default, it is the identity matrix but you
may additionally scale and shift the result by using a different matrix.
@ -3920,7 +3920,7 @@ namespace fisheye
/** @brief Estimates new camera intrinsic matrix for undistortion or rectification.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param K Camera intrinsic matrix \f$\cameramatrix{K}\f$.
@param image_size Size of the image
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param R Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3
@ -3947,7 +3947,7 @@ namespace fisheye
@ref fisheye::CALIB_USE_INTRINSIC_GUESS is specified, some or all of fx, fy, cx, cy must be
initialized before calling the function.
@param D Output vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param rvecs Output vector of rotation vectors (see Rodrigues ) estimated for each pattern view.
@param rvecs Output vector of rotation vectors (see @ref Rodrigues ) estimated for each pattern view.
That is, each k-th rotation vector together with the corresponding k-th translation vector (see
the next output parameter description) brings the calibration pattern from the model coordinate
space (in which object points are specified) to the world coordinate space, that is, a real
@ -4088,7 +4088,7 @@ optimization. It is the \f$max(width,height)/\pi\f$ or the provided \f$f_x\f$, \
- for all the other flags, number of input points must be >= 4 and object points can be in any configuration.
@param criteria Termination criteria for internal undistortPoints call.
The function interally undistorts points with @ref undistortPoints and call @ref cv::solvePnP,
thus the input are very similar. Check there and Perspective-n-Points is described in @ref calib3d_solvePnP
thus the input are very similar. More information about Perspective-n-Points is described in @ref calib3d_solvePnP
for more information.
*/
CV_EXPORTS_W bool solvePnP( InputArray objectPoints, InputArray imagePoints,