Add broken implementation note for DLS and UPnP.

Add CV_LOG_DEBUG.

modules/calib3d/include/opencv2/calib3d.hpp

@@ -450,8 +450,10 @@ enum SolvePnPMethod {
     SOLVEPNP_ITERATIVE   = 0,
     SOLVEPNP_EPNP        = 1, //!< EPnP: Efficient Perspective-n-Point Camera Pose Estimation @cite lepetit2009epnp
     SOLVEPNP_P3P         = 2, //!< Complete Solution Classification for the Perspective-Three-Point Problem @cite gao2003complete
-    SOLVEPNP_DLS         = 3, //!< A Direct Least-Squares (DLS) Method for PnP  @cite hesch2011direct
-    SOLVEPNP_UPNP        = 4, //!< Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation @cite penate2013exhaustive
+    SOLVEPNP_DLS         = 3, //!< **Broken implementation. Using this flag will fallback to EPnP.** \n
+                              //!< A Direct Least-Squares (DLS) Method for PnP @cite hesch2011direct
+    SOLVEPNP_UPNP        = 4, //!< **Broken implementation. Using this flag will fallback to EPnP.** \n
+                              //!< Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation @cite penate2013exhaustive
     SOLVEPNP_AP3P        = 5, //!< An Efficient Algebraic Solution to the Perspective-Three-Point Problem @cite Ke17
     SOLVEPNP_IPPE        = 6, //!< Infinitesimal Plane-Based Pose Estimation @cite Collins14 \n
                               //!< Object points must be coplanar.
@@ -808,7 +810,7 @@ vectors, respectively, and further optimizes them.
 -   **SOLVEPNP_ITERATIVE** Iterative method is based on a Levenberg-Marquardt optimization. In
 this case the function finds such a pose that minimizes reprojection error, that is the sum
 of squared distances between the observed projections imagePoints and the projected (using
-projectPoints ) objectPoints .
+@ref projectPoints ) objectPoints .
 -   **SOLVEPNP_P3P** Method is based on the paper of X.S. Gao, X.-R. Hou, J. Tang, H.-F. Chang
 "Complete Solution Classification for the Perspective-Three-Point Problem" (@cite gao2003complete).
 In this case the function requires exactly four object and image points.
@@ -817,9 +819,11 @@ In this case the function requires exactly four object and image points.
 In this case the function requires exactly four object and image points.
 -   **SOLVEPNP_EPNP** Method has been introduced by F. Moreno-Noguer, V. Lepetit and P. Fua in the
 paper "EPnP: Efficient Perspective-n-Point Camera Pose Estimation" (@cite lepetit2009epnp).
--   **SOLVEPNP_DLS** Method is based on the paper of J. Hesch and S. Roumeliotis.
+-   **SOLVEPNP_DLS** **Broken implementation. Using this flag will fallback to EPnP.** \n
+Method is based on the paper of J. Hesch and S. Roumeliotis.
 "A Direct Least-Squares (DLS) Method for PnP" (@cite hesch2011direct).
--   **SOLVEPNP_UPNP** Method is based on the paper of A. Penate-Sanchez, J. Andrade-Cetto,
+-   **SOLVEPNP_UPNP** **Broken implementation. Using this flag will fallback to EPnP.** \n
+Method is based on the paper of A. Penate-Sanchez, J. Andrade-Cetto,
 F. Moreno-Noguer. "Exhaustive Linearization for Robust Camera Pose and Focal Length
 Estimation" (@cite penate2013exhaustive). In this case the function also estimates the parameters \f$f_x\f$ and \f$f_y\f$
 assuming that both have the same value. Then the cameraMatrix is updated with the estimated
@@ -1143,9 +1147,11 @@ In this case the function requires exactly four object and image points.
 In this case the function requires exactly four object and image points.
 -   **SOLVEPNP_EPNP** Method has been introduced by F.Moreno-Noguer, V.Lepetit and P.Fua in the
 paper "EPnP: Efficient Perspective-n-Point Camera Pose Estimation" (@cite lepetit2009epnp).
--   **SOLVEPNP_DLS** Method is based on the paper of Joel A. Hesch and Stergios I. Roumeliotis.
+-   **SOLVEPNP_DLS** **Broken implementation. Using this flag will fallback to EPnP.** \n
+Method is based on the paper of Joel A. Hesch and Stergios I. Roumeliotis.
 "A Direct Least-Squares (DLS) Method for PnP" (@cite hesch2011direct).
--   **SOLVEPNP_UPNP** Method is based on the paper of A.Penate-Sanchez, J.Andrade-Cetto,
+-   **SOLVEPNP_UPNP** **Broken implementation. Using this flag will fallback to EPnP.** \n
+Method is based on the paper of A.Penate-Sanchez, J.Andrade-Cetto,
 F.Moreno-Noguer. "Exhaustive Linearization for Robust Camera Pose and Focal Length
 Estimation" (@cite penate2013exhaustive). In this case the function also estimates the parameters \f$f_x\f$ and \f$f_y\f$
 assuming that both have the same value. Then the cameraMatrix is updated with the estimated

modules/calib3d/src/solvepnp.cpp

@@ -48,6 +48,7 @@
 #include "ap3p.h"
 #include "ippe.hpp"
 #include "opencv2/calib3d/calib3d_c.h"
+#include <opencv2/core/utils/logger.hpp>
 
 namespace cv
 {
@@ -780,6 +781,15 @@ int solvePnPGeneric( InputArray _opoints, InputArray _ipoints,
     vector<Mat> vec_rvecs, vec_tvecs;
     if (flags == SOLVEPNP_EPNP || flags == SOLVEPNP_DLS || flags == SOLVEPNP_UPNP)
     {
+        if (flags == SOLVEPNP_DLS)
+        {
+            CV_LOG_DEBUG(NULL, "Broken implementation for SOLVEPNP_DLS. Fallback to EPnP.");
+        }
+        else if (flags == SOLVEPNP_UPNP)
+        {
+            CV_LOG_DEBUG(NULL, "Broken implementation for SOLVEPNP_UPNP. Fallback to EPnP.");
+        }
+
         Mat undistortedPoints;
         undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
         epnp PnP(cameraMatrix, opoints, undistortedPoints);