diff --git a/doc/opencv.bib b/doc/opencv.bib index 5531bb6dd5..e3363a181c 100644 --- a/doc/opencv.bib +++ b/doc/opencv.bib @@ -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}, diff --git a/modules/calib3d/include/opencv2/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d.hpp index 9fc6773450..f44dacbedf 100644 --- a/modules/calib3d/include/opencv2/calib3d.hpp +++ b/modules/calib3d/include/opencv2/calib3d.hpp @@ -3805,7 +3805,7 @@ namespace fisheye @param imagePoints Output array of image points, 2xN/Nx2 1-channel or 1xN/Nx1 2-channel, or vector\. @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\ ), 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\ . @@ -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\ ), 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\ . @@ -3858,7 +3858,7 @@ namespace fisheye @param distorted Array of object points, 1xN/Nx1 2-channel (or vector\ ), 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,