Open Source Computer Vision Library https://opencv.org/
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Camera Calibration and 3D Reconstruction
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.. highlight:: cpp
11 years ago
cuda::solvePnPRansac
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Finds the object pose from 3D-2D point correspondences.
11 years ago
.. ocv:function:: void cuda::solvePnPRansac(const Mat& object, const Mat& image, const Mat& camera_mat, const Mat& dist_coef, Mat& rvec, Mat& tvec, bool use_extrinsic_guess=false, int num_iters=100, float max_dist=8.0, int min_inlier_count=100, vector<int>* inliers=NULL)
:param object: Single-row matrix of object points.
:param image: Single-row matrix of image points.
:param camera_mat: 3x3 matrix of intrinsic camera parameters.
:param dist_coef: Distortion coefficients. See :ocv:func:`undistortPoints` for details.
:param rvec: Output 3D rotation vector.
:param tvec: Output 3D translation vector.
:param use_extrinsic_guess: Flag to indicate that the function must use ``rvec`` and ``tvec`` as an initial transformation guess. It is not supported for now.
:param num_iters: Maximum number of RANSAC iterations.
:param max_dist: Euclidean distance threshold to detect whether point is inlier or not.
:param min_inlier_count: Flag to indicate that the function must stop if greater or equal number of inliers is achieved. It is not supported for now.
:param inliers: Output vector of inlier indices.
.. seealso:: :ocv:func:`solvePnPRansac`