|
public static StereoRectifyUncalibrated ( IEnumerable |
||
| points1 | IEnumerable |
Array of feature points in the first image. |
| points2 | IEnumerable |
The corresponding points in the second image. /// The same formats as in findFundamentalMat() are supported. |
| F | double | Input fundamental matrix. It can be computed from the same set /// of point pairs using findFundamentalMat() . |
| imgSize | Size | Size of the image. |
| H1 | double | Output rectification homography matrix for the first image. |
| H2 | double | Output rectification homography matrix for the second image. |
| threshold | double | Optional threshold used to filter out the outliers. /// If the parameter is greater than zero, all the point pairs that do not comply /// with the epipolar geometry (that is, the points for which |points2[i]^T * F * points1[i]| > threshold ) /// are rejected prior to computing the homographies. Otherwise, all the points are considered inliers. |
| return | bool | |
public static bool StereoRectifyUncalibrated(IEnumerable<Point2d> points1,
IEnumerable<Point2d> points2,
double[,] F, Size imgSize,
out double[,] H1, out double[,] H2,
double threshold = 5
)
{
if (points1 == null)
throw new ArgumentNullException(nameof(points1));
if (points2 == null)
throw new ArgumentNullException(nameof(points2));
if (F == null)
throw new ArgumentNullException(nameof(F));
if (F.GetLength(0) != 3 || F.GetLength(1) != 3)
throw new ArgumentException("F != double[3,3]");
Point2d[] points1Array = EnumerableEx.ToArray(points1);
Point2d[] points2Array = EnumerableEx.ToArray(points2);
H1 = new double[3, 3];
H2 = new double[3, 3];
int ret = NativeMethods.calib3d_stereoRectifyUncalibrated_array(
points1Array, points1Array.Length,
points2Array, points2Array.Length,
F, imgSize, H1, H2, threshold);
return ret != 0;
}
| Cv2::StereoRectifyUncalibrated ( InputArray points1, InputArray points2, InputArray F, Size imgSize, OutputArray H1, OutputArray H2, double threshold = 5 ) : bool |