Inv marker corner correction

README.md

@@ -31,6 +31,8 @@ use CMake's `BUILD_opencv_*` options. Like in this example:
 $ cmake -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -DBUILD_opencv_legacy=OFF <opencv_source_directory>
 ```
 
+If you also want to build the samples from the "samples" folder of each module, also include the "-DBUILD_EXAMPLES=ON" option.
+
 If you prefer using the gui version of cmake (cmake-gui), then, you can add `opencv_contrib` modules within `opencv` core by doing the following:
 
 1. start cmake-gui

modules/README.md

@@ -48,13 +48,13 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
 
 - **reg**: Image Registration -- Pixels based image registration for precise alignment. Follows the paper "Image Alignment and Stitching: A Tutorial", by Richard Szeliski.
 
-- **rgbd**: RGB-Depth Processing module -- Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry
+- **rgbd**: RGB-Depth Processing module -- Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry. 3d reconstruction using KinectFusion.
 
 - **saliency**: Saliency API -- Where humans would look in a scene. Has routines for static, motion and "objectness" saliency.
 
 - **sfm**: Structure from Motion -- This module contains algorithms to perform 3d reconstruction from 2d images. The core of the module is a light version of Libmv.
 
-- **stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV.
+- **stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV and dense stereo correspondence using Quasi Dense Stereo method.
 
 - **structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene.
 

modules/aruco/include/opencv2/aruco.hpp

@@ -392,8 +392,8 @@ class CV_EXPORTS_W GridBoard : public Board {
  * Note that returning a 0 means the pose has not been estimated.
  */
 CV_EXPORTS_W int estimatePoseBoard(InputArrayOfArrays corners, InputArray ids, const Ptr<Board> &board,
-                                   InputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec,
-                                   OutputArray tvec, bool useExtrinsicGuess = false);
+                                   InputArray cameraMatrix, InputArray distCoeffs, InputOutputArray rvec,
+                                   InputOutputArray tvec, bool useExtrinsicGuess = false);
 
 
 

modules/aruco/include/opencv2/aruco/charuco.hpp

@@ -184,8 +184,8 @@ CV_EXPORTS_W int interpolateCornersCharuco(InputArrayOfArrays markerCorners, Inp
  */
 CV_EXPORTS_W bool estimatePoseCharucoBoard(InputArray charucoCorners, InputArray charucoIds,
                                            const Ptr<CharucoBoard> &board, InputArray cameraMatrix,
-                                           InputArray distCoeffs, OutputArray rvec, OutputArray tvec,
-                                           bool useExtrinsicGuess = false);
+                                           InputArray distCoeffs, InputOutputArray rvec,
+                                           InputOutputArray tvec, bool useExtrinsicGuess = false);