diff --git a/modules/calib3d/include/opencv2/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d.hpp
index ae2c7b0a1c..b5a56ec1b6 100644
--- a/modules/calib3d/include/opencv2/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d.hpp
@@ -1464,6 +1464,28 @@ CV_EXPORTS_W int recoverPose( InputArray E, InputArray points1, InputArray point
                             double focal = 1.0, Point2d pp = Point2d(0, 0),
                             InputOutputArray mask = noArray() );
 
+/** @overload
+@param E The input essential matrix.
+@param points1 Array of N 2D points from the first image. The point coordinates should be
+floating-point (single or double precision).
+@param points2 Array of the second image points of the same size and format as points1.
+@param cameraMatrix Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
+Note that this function assumes that points1 and points2 are feature points from cameras with the
+same camera matrix.
+@param R Recovered relative rotation.
+@param t Recoverd relative translation.
+@param distanceThresh threshold distance which is used to filter out far away points (i.e. infinite points).
+@param mask Input/output mask for inliers in points1 and points2.
+:   If it is not empty, then it marks inliers in points1 and points2 for then given essential
+matrix E. Only these inliers will be used to recover pose. In the output mask only inliers
+which pass the cheirality check.
+@param triangulatedPoints 3d points which were reconstructed by triangulation.
+ */
+
+CV_EXPORTS_W int recoverPose( InputArray E, InputArray points1, InputArray points2,
+                            InputArray cameraMatrix, OutputArray R, OutputArray t, double distanceThresh, InputOutputArray mask = noArray(),
+                            OutputArray triangulatedPoints = noArray());
+
 /** @brief For points in an image of a stereo pair, computes the corresponding epilines in the other image.
 
 @param points Input points. \f$N \times 1\f$ or \f$1 \times N\f$ matrix of type CV_32FC2 or
diff --git a/modules/calib3d/src/five-point.cpp b/modules/calib3d/src/five-point.cpp
index 1d39e20f87..ecc1cfcf6f 100644
--- a/modules/calib3d/src/five-point.cpp
+++ b/modules/calib3d/src/five-point.cpp
@@ -458,8 +458,9 @@ cv::Mat cv::findEssentialMat( InputArray _points1, InputArray _points2, double f
     return cv::findEssentialMat(_points1, _points2, cameraMatrix, method, prob, threshold, _mask);
 }
 
-int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, InputArray _cameraMatrix,
-                     OutputArray _R, OutputArray _t, InputOutputArray _mask)
+int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2,
+                            InputArray _cameraMatrix, OutputArray _R, OutputArray _t, double distanceThresh,
+                     InputOutputArray _mask, OutputArray triangulatedPoints)
 {
     CV_INSTRUMENT_REGION()
 
@@ -506,51 +507,60 @@ int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, Inp
     // Notice here a threshold dist is used to filter
     // out far away points (i.e. infinite points) since
     // there depth may vary between postive and negtive.
-    double dist = 50.0;
+    std::vector<Mat> allTriangulations(4);
     Mat Q;
+
     triangulatePoints(P0, P1, points1, points2, Q);
+    if(triangulatedPoints.needed())
+        Q.copyTo(allTriangulations[0]);
     Mat mask1 = Q.row(2).mul(Q.row(3)) > 0;
     Q.row(0) /= Q.row(3);
     Q.row(1) /= Q.row(3);
     Q.row(2) /= Q.row(3);
     Q.row(3) /= Q.row(3);
-    mask1 = (Q.row(2) < dist) & mask1;
+    mask1 = (Q.row(2) < distanceThresh) & mask1;
     Q = P1 * Q;
     mask1 = (Q.row(2) > 0) & mask1;
-    mask1 = (Q.row(2) < dist) & mask1;
+    mask1 = (Q.row(2) < distanceThresh) & mask1;
 
     triangulatePoints(P0, P2, points1, points2, Q);
+    if(triangulatedPoints.needed())
+        Q.copyTo(allTriangulations[1]);
     Mat mask2 = Q.row(2).mul(Q.row(3)) > 0;
     Q.row(0) /= Q.row(3);
     Q.row(1) /= Q.row(3);
     Q.row(2) /= Q.row(3);
     Q.row(3) /= Q.row(3);
-    mask2 = (Q.row(2) < dist) & mask2;
+    mask2 = (Q.row(2) < distanceThresh) & mask2;
     Q = P2 * Q;
     mask2 = (Q.row(2) > 0) & mask2;
-    mask2 = (Q.row(2) < dist) & mask2;
+    mask2 = (Q.row(2) < distanceThresh) & mask2;
 
     triangulatePoints(P0, P3, points1, points2, Q);
+    if(triangulatedPoints.needed())
+        Q.copyTo(allTriangulations[2]);
     Mat mask3 = Q.row(2).mul(Q.row(3)) > 0;
     Q.row(0) /= Q.row(3);
     Q.row(1) /= Q.row(3);
     Q.row(2) /= Q.row(3);
     Q.row(3) /= Q.row(3);
-    mask3 = (Q.row(2) < dist) & mask3;
+    mask3 = (Q.row(2) < distanceThresh) & mask3;
     Q = P3 * Q;
     mask3 = (Q.row(2) > 0) & mask3;
-    mask3 = (Q.row(2) < dist) & mask3;
+    mask3 = (Q.row(2) < distanceThresh) & mask3;
 
     triangulatePoints(P0, P4, points1, points2, Q);
+    if(triangulatedPoints.needed())
+        Q.copyTo(allTriangulations[3]);
     Mat mask4 = Q.row(2).mul(Q.row(3)) > 0;
     Q.row(0) /= Q.row(3);
     Q.row(1) /= Q.row(3);
     Q.row(2) /= Q.row(3);
     Q.row(3) /= Q.row(3);
-    mask4 = (Q.row(2) < dist) & mask4;
+    mask4 = (Q.row(2) < distanceThresh) & mask4;
     Q = P4 * Q;
     mask4 = (Q.row(2) > 0) & mask4;
-    mask4 = (Q.row(2) < dist) & mask4;
+    mask4 = (Q.row(2) < distanceThresh) & mask4;
 
     mask1 = mask1.t();
     mask2 = mask2.t();
@@ -583,6 +593,7 @@ int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, Inp
 
     if (good1 >= good2 && good1 >= good3 && good1 >= good4)
     {
+        if(triangulatedPoints.needed()) allTriangulations[0].copyTo(triangulatedPoints);
         R1.copyTo(_R);
         t.copyTo(_t);
         if (_mask.needed()) mask1.copyTo(_mask);
@@ -590,6 +601,7 @@ int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, Inp
     }
     else if (good2 >= good1 && good2 >= good3 && good2 >= good4)
     {
+        if(triangulatedPoints.needed()) allTriangulations[1].copyTo(triangulatedPoints);
         R2.copyTo(_R);
         t.copyTo(_t);
         if (_mask.needed()) mask2.copyTo(_mask);
@@ -597,6 +609,7 @@ int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, Inp
     }
     else if (good3 >= good1 && good3 >= good2 && good3 >= good4)
     {
+        if(triangulatedPoints.needed()) allTriangulations[2].copyTo(triangulatedPoints);
         t = -t;
         R1.copyTo(_R);
         t.copyTo(_t);
@@ -605,6 +618,7 @@ int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, Inp
     }
     else
     {
+        if(triangulatedPoints.needed()) allTriangulations[3].copyTo(triangulatedPoints);
         t = -t;
         R2.copyTo(_R);
         t.copyTo(_t);
@@ -613,6 +627,12 @@ int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, Inp
     }
 }
 
+int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, InputArray _cameraMatrix,
+                     OutputArray _R, OutputArray _t, InputOutputArray _mask)
+{
+    return cv::recoverPose(E, _points1, _points2, _cameraMatrix, _R, _t, 50, _mask);
+}
+
 int cv::recoverPose( InputArray E, InputArray _points1, InputArray _points2, OutputArray _R,
                      OutputArray _t, double focal, Point2d pp, InputOutputArray _mask)
 {