Removed Sphinx documentation files

doc/tutorials/calib3d/camera_calibration_square_chess/camera_calibration_square_chess.rst

@@ -1,62 +0,0 @@
-.. _CameraCalibrationSquareChessBoardTutorial:
-
-Camera calibration with square chessboard
-*****************************************
-
-.. highlight:: cpp
-
-The goal of this tutorial is to learn how to calibrate a camera given a set of chessboard images.
-
-*Test data*: use images in your data/chess folder.
-
-#.
-    Compile opencv with samples by setting ``BUILD_EXAMPLES`` to ``ON`` in cmake configuration.
-
-#.
-    Go to ``bin`` folder and use ``imagelist_creator`` to create an ``XML/YAML`` list of your images.
-
-#.
-    Then, run ``calibration`` sample to get camera parameters. Use square size equal to 3cm.
-
-Pose estimation
-===============
-
-Now, let us write a code that detects a chessboard in a new image and finds its distance from the camera. You can apply the same method to any object with known 3D geometry that you can detect in an image.
-
-*Test data*: use chess_test*.jpg images from your data folder.
-
-#.
-    Create an empty console project. Load a test image: ::
-
-        Mat img = imread(argv[1], IMREAD_GRAYSCALE);
-
-#.
-    Detect a chessboard in this image using findChessboard function. ::
-
-        bool found = findChessboardCorners( img, boardSize, ptvec, CALIB_CB_ADAPTIVE_THRESH );
-
-#.
-    Now, write a function that generates a ``vector<Point3f>`` array of 3d coordinates of a chessboard in any coordinate system. For simplicity, let us choose a system such that one of the chessboard corners is in the origin and the board is in the plane *z = 0*.
-
-#.
-    Read camera parameters from XML/YAML file: ::
-
-        FileStorage fs(filename, FileStorage::READ);
-        Mat intrinsics, distortion;
-        fs["camera_matrix"] >> intrinsics;
-        fs["distortion_coefficients"] >> distortion;
-
-#.
-    Now we are ready to find chessboard pose by running ``solvePnP``: ::
-
-        vector<Point3f> boardPoints;
-        // fill the array
-        ...
-
-        solvePnP(Mat(boardPoints), Mat(foundBoardCorners), cameraMatrix,
-                             distCoeffs, rvec, tvec, false);
-
-#.
-    Calculate reprojection error like it is done in ``calibration`` sample (see ``opencv/samples/cpp/calibration.cpp``, function ``computeReprojectionErrors``).
-
-Question: how to calculate the distance from the camera origin to any of the corners?