|  | Cv2SolvePnPRansac Method (IEnumerablePoint3f, IEnumerablePoint2f, Double, IEnumerableDouble, Double, Double, Int32, Boolean, Int32, Single, Double, SolvePnPFlags) | 
 
            computes the camera pose from a few 3D points and the corresponding projections. The outliers are possible.
            
 
    Namespace: 
   OpenCvSharp
    Assembly:
   OpenCvSharp (in OpenCvSharp.dll) Version: 1.0.0
 Syntax
Syntaxpublic static void SolvePnPRansac(
	IEnumerable<Point3f> objectPoints,
	IEnumerable<Point2f> imagePoints,
	double[,] cameraMatrix,
	IEnumerable<double> distCoeffs,
	out double[] rvec,
	out double[] tvec,
	out int[] inliers,
	bool useExtrinsicGuess = false,
	int iterationsCount = 100,
	float reprojectionError = 8f,
	double confidence = 0.99,
	SolvePnPFlags flags = SolvePnPFlags.Iterative
)
Public Shared Sub SolvePnPRansac ( 
	objectPoints As IEnumerable(Of Point3f),
	imagePoints As IEnumerable(Of Point2f),
	cameraMatrix As Double(,),
	distCoeffs As IEnumerable(Of Double),
	<OutAttribute> ByRef rvec As Double(),
	<OutAttribute> ByRef tvec As Double(),
	<OutAttribute> ByRef inliers As Integer(),
	Optional useExtrinsicGuess As Boolean = false,
	Optional iterationsCount As Integer = 100,
	Optional reprojectionError As Single = 8F,
	Optional confidence As Double = 0.99,
	Optional flags As SolvePnPFlags = SolvePnPFlags.Iterative
)
public:
static void SolvePnPRansac(
	IEnumerable<Point3f>^ objectPoints, 
	IEnumerable<Point2f>^ imagePoints, 
	array<double,2>^ cameraMatrix, 
	IEnumerable<double>^ distCoeffs, 
	[OutAttribute] array<double>^% rvec, 
	[OutAttribute] array<double>^% tvec, 
	[OutAttribute] array<int>^% inliers, 
	bool useExtrinsicGuess = false, 
	int iterationsCount = 100, 
	float reprojectionError = 8f, 
	double confidence = 0.99, 
	SolvePnPFlags flags = SolvePnPFlags::Iterative
)
static member SolvePnPRansac : 
        objectPoints : IEnumerable<Point3f> * 
        imagePoints : IEnumerable<Point2f> * 
        cameraMatrix : float[,] * 
        distCoeffs : IEnumerable<float> * 
        rvec : float[] byref * 
        tvec : float[] byref * 
        inliers : int[] byref * 
        ?useExtrinsicGuess : bool * 
        ?iterationsCount : int * 
        ?reprojectionError : float32 * 
        ?confidence : float * 
        ?flags : SolvePnPFlags 
(* Defaults:
        let _useExtrinsicGuess = defaultArg useExtrinsicGuess false
        let _iterationsCount = defaultArg iterationsCount 100
        let _reprojectionError = defaultArg reprojectionError 8f
        let _confidence = defaultArg confidence 0.99
        let _flags = defaultArg flags SolvePnPFlags.Iterative
*)
-> unit 
Parameters
- objectPoints
- Type: System.Collections.GenericIEnumerablePoint3f
 Array of object points in the object coordinate space, 3xN/Nx3 1-channel or 1xN/Nx1 3-channel, 
            where N is the number of points. List<Point3f> can be also passed here.
- imagePoints
- Type: System.Collections.GenericIEnumerablePoint2f
 Array of corresponding image points, 2xN/Nx2 1-channel or 1xN/Nx1 2-channel, where N is the number of points. 
            List<Point2f> can be also passed here.
- cameraMatrix
- Type: SystemDouble
 Input 3x3 camera matrix
- distCoeffs
- Type: System.Collections.GenericIEnumerableDouble
 Input vector of distortion coefficients (k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6]]) of 4, 5, or 8 elements. 
            If the vector is null, the zero distortion coefficients are assumed.
- rvec
- Type: SystemDouble
 Output rotation vector that, together with tvec , brings points from the model coordinate system 
            to the camera coordinate system.
- tvec
- Type: SystemDouble
 Output translation vector.
- inliers
- Type: SystemInt32
 Output vector that contains indices of inliers in objectPoints and imagePoints .
- useExtrinsicGuess (Optional)
- Type: SystemBoolean
 If true, the function uses the provided rvec and tvec values as initial approximations 
            of the rotation and translation vectors, respectively, and further optimizes them.
- iterationsCount (Optional)
- Type: SystemInt32
 Number of iterations.
- reprojectionError (Optional)
- Type: SystemSingle
 Inlier threshold value used by the RANSAC procedure. 
            The parameter value is the maximum allowed distance between the observed and computed point projections to consider it an inlier.
- confidence (Optional)
- Type: SystemDouble
 The probability that the algorithm produces a useful result.
- flags (Optional)
- Type: OpenCvSharpSolvePnPFlags
 Method for solving a PnP problem
 See Also
See Also