Jan 24, 2025 · Dec 24, 2024 · Jan 23, 2025 · Jan 23, 2025
diff --git a/modules/calib3d/include/opencv2/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d.hpp
    the provided rvec and tvec values as initial approximations of the rotation and translation
    vectors, respectively, and further optimizes them.
    @param flags Method for solving a PnP problem: see @ref calib3d_solvePnP_flags
    This function returns the rotation and the translation vectors that transform a 3D point expressed in the object
    coordinate frame to the camera coordinate frame, using different methods:
    - P3P methods (@ref SOLVEPNP_P3P, @ref SOLVEPNP_AP3P): need 4 input points to return a unique solution.
    - @ref SOLVEPNP_IPPE Input points must be >= 4 and object points must be coplanar.
    - @ref SOLVEPNP_IPPE_SQUARE Special case suitable for marker pose estimation.
    Number of input points must be 4. Object points must be defined in the following order:
    - point 0: [-squareLength / 2,  squareLength / 2, 0]
    - point 1: [ squareLength / 2,  squareLength / 2, 0]
    - point 2: [ squareLength / 2, -squareLength / 2, 0]
    - point 3: [-squareLength / 2, -squareLength / 2, 0]
    - 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. More information about Perspective-n-Points is described in @ref calib3d_solvePnP
                                      OutputArray rvec, OutputArray tvec,
                                      bool useExtrinsicGuess = false, int iterationsCount = 100,
                                      float reprojectionError = 8.0, double confidence = 0.99,
                                      OutputArray inliers = noArray(),int flags = SOLVEPNP_ITERATIVE,
                                      OutputArray inliers = noArray(),int flags = SOLVEPNP_ITERATIVE,
                                      TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 10, 1e-8)
                                    );
Original file line number	Diff line number	Diff line change
Expand Up		@@ -4075,17 +4075,6 @@ optimization. It is the \f$max(width,height)/\pi\f$ or the provided \f$f_x\f$, \
		the provided rvec and tvec values as initial approximations of the rotation and translation
		vectors, respectively, and further optimizes them.
		@param flags Method for solving a PnP problem: see @ref calib3d_solvePnP_flags
		This function returns the rotation and the translation vectors that transform a 3D point expressed in the object
		coordinate frame to the camera coordinate frame, using different methods:
		- P3P methods (@ref SOLVEPNP_P3P, @ref SOLVEPNP_AP3P): need 4 input points to return a unique solution.
		- @ref SOLVEPNP_IPPE Input points must be >= 4 and object points must be coplanar.
		- @ref SOLVEPNP_IPPE_SQUARE Special case suitable for marker pose estimation.
		Number of input points must be 4. Object points must be defined in the following order:
		- point 0: [-squareLength / 2, squareLength / 2, 0]
		- point 1: [ squareLength / 2, squareLength / 2, 0]
		- point 2: [ squareLength / 2, -squareLength / 2, 0]
		- point 3: [-squareLength / 2, -squareLength / 2, 0]
		- 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. More information about Perspective-n-Points is described in @ref calib3d_solvePnP
Expand DownExpand Up		@@ -4141,7 +4130,7 @@ optimization. It is the \f$max(width,height)/\pi\f$ or the provided \f$f_x\f$, \
		OutputArray rvec, OutputArray tvec,
		bool useExtrinsicGuess = false, int iterationsCount = 100,
		float reprojectionError = 8.0, double confidence = 0.99,
		OutputArray inliers = noArray(),int flags = SOLVEPNP_ITERATIVE,
		OutputArray inliers = noArray(),int flags = SOLVEPNP_ITERATIVE,
		TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 10, 1e-8)
		);

Expand Down