diff --git a/cmake/OpenCVDownload.cmake b/cmake/OpenCVDownload.cmake
index 63cf6d3238..a427a41227 100644
--- a/cmake/OpenCVDownload.cmake
+++ b/cmake/OpenCVDownload.cmake
@@ -23,7 +23,7 @@ set(OPENCV_DOWNLOAD_LOG "${OpenCV_BINARY_DIR}/CMakeDownloadLog.txt")
 set(OPENCV_DOWNLOAD_WITH_CURL "${OpenCV_BINARY_DIR}/download_with_curl.sh")
 set(OPENCV_DOWNLOAD_WITH_WGET "${OpenCV_BINARY_DIR}/download_with_wget.sh")
 set(OPENCV_DOWNLOAD_TRIES_LIST 1 CACHE STRING "List of download tries") # a list
-set(OPENCV_DOWNLOAD_PARAMS INACTIVITY_TIMEOUT 60 TIMEOUT 600 CACHE STRING "Download parameters to be passed to file(DOWNLAOD ...)")
+set(OPENCV_DOWNLOAD_PARAMS INACTIVITY_TIMEOUT 60 TIMEOUT 600 CACHE STRING "Download parameters to be passed to file(DOWNLOAD ...)")
 mark_as_advanced(OPENCV_DOWNLOAD_TRIES_LIST OPENCV_DOWNLOAD_PARAMS)
 
 # Init download cache directory and log file and helper scripts
diff --git a/doc/Doxyfile.in b/doc/Doxyfile.in
index a321be9878..26ad42b1e5 100644
--- a/doc/Doxyfile.in
+++ b/doc/Doxyfile.in
@@ -31,7 +31,7 @@ MULTILINE_CPP_IS_BRIEF = NO
 INHERIT_DOCS           = YES
 SEPARATE_MEMBER_PAGES  = NO
 TAB_SIZE               = 4
-ALIASES               += add_toggle{1}="@htmlonly[block] <div class='newInnerHTML'>\1</div><div> <script type="text/javascript"> addToggle(); </script>@endhtmlonly"
+ALIASES               += add_toggle{1}="@htmlonly[block] <div class='newInnerHTML'>\1</div><div> <script type='text/javascript'> addToggle(); </script>@endhtmlonly"
 ALIASES               += add_toggle_cpp="@htmlonly[block] <div class='newInnerHTML' title='cpp' style='display: none;'>C++</div><div class='toggleable_div label_cpp' style='display: none;'>@endhtmlonly"
 ALIASES               += add_toggle_java="@htmlonly[block] <div class='newInnerHTML' title='java' style='display: none;'>Java</div><div class='toggleable_div label_java' style='display: none;'>@endhtmlonly"
 ALIASES               += add_toggle_python="@htmlonly[block] <div class='newInnerHTML' title='python' style='display: none;'>Python</div><div class='toggleable_div label_python' style='display: none;'>@endhtmlonly"
diff --git a/doc/tutorials/calib3d/real_time_pose/real_time_pose.markdown b/doc/tutorials/calib3d/real_time_pose/real_time_pose.markdown
index e14273cb31..a9fb403221 100644
--- a/doc/tutorials/calib3d/real_time_pose/real_time_pose.markdown
+++ b/doc/tutorials/calib3d/real_time_pose/real_time_pose.markdown
@@ -87,7 +87,7 @@ The tutorial consists of two main programs:
 
     The application starts up extracting the ORB features and descriptors from the input image and
     then uses the mesh along with the [Möller–Trumbore intersection
-    algorithm](http://http://en.wikipedia.org/wiki/M%C3%B6ller%E2%80%93Trumbore_intersection_algorithm/)
+    algorithm](http://en.wikipedia.org/wiki/M%C3%B6ller%E2%80%93Trumbore_intersection_algorithm/)
     to compute the 3D coordinates of the found features. Finally, the 3D points and the descriptors
     are stored in different lists in a file with YAML format which each row is a different point. The
     technical background on how to store the files can be found in the @ref tutorial_file_input_output_with_xml_yml
diff --git a/modules/calib3d/include/opencv2/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d.hpp
index efbbbbc014..ce79a33405 100644
--- a/modules/calib3d/include/opencv2/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d.hpp
@@ -1721,8 +1721,8 @@ concatenated together.
 @param imageSize Size of the image used only to initialize the camera intrinsic matrix.
 @param cameraMatrix Input/output 3x3 floating-point camera intrinsic matrix
 \f$\cameramatrix{A}\f$ . If @ref CALIB_USE_INTRINSIC_GUESS
-and/or @ref CALIB_FIX_ASPECT_RATIO are specified, some or all of fx, fy, cx, cy must be
-initialized before calling the function.
+and/or @ref CALIB_FIX_ASPECT_RATIO, @ref CALIB_FIX_PRINCIPAL_POINT or @ref CALIB_FIX_FOCAL_LENGTH
+are specified, some or all of fx, fy, cx, cy must be initialized before calling the function.
 @param distCoeffs Input/output vector of distortion coefficients
 \f$\distcoeffs\f$.
 @param rvecs Output vector of rotation vectors (@ref Rodrigues ) estimated for each pattern view
@@ -1748,7 +1748,7 @@ the number of pattern views. \f$R_i, T_i\f$ are concatenated 1x3 vectors.
 fx, fy, cx, cy that are optimized further. Otherwise, (cx, cy) is initially set to the image
 center ( imageSize is used), and focal distances are computed in a least-squares fashion.
 Note, that if intrinsic parameters are known, there is no need to use this function just to
-estimate extrinsic parameters. Use solvePnP instead.
+estimate extrinsic parameters. Use @ref solvePnP instead.
 -   @ref CALIB_FIX_PRINCIPAL_POINT The principal point is not changed during the global
 optimization. It stays at the center or at a different location specified when
  @ref CALIB_USE_INTRINSIC_GUESS is set too.
@@ -1758,24 +1758,23 @@ ratio fx/fy stays the same as in the input cameraMatrix . When
 ignored, only their ratio is computed and used further.
 -   @ref CALIB_ZERO_TANGENT_DIST Tangential distortion coefficients \f$(p_1, p_2)\f$ are set
 to zeros and stay zero.
+-   @ref CALIB_FIX_FOCAL_LENGTH The focal length is not changed during the global optimization if
+ @ref CALIB_USE_INTRINSIC_GUESS is set.
 -   @ref CALIB_FIX_K1,..., @ref CALIB_FIX_K6 The corresponding radial distortion
 coefficient is not changed during the optimization. If @ref CALIB_USE_INTRINSIC_GUESS is
 set, the coefficient from the supplied distCoeffs matrix is used. Otherwise, it is set to 0.
 -   @ref CALIB_RATIONAL_MODEL Coefficients k4, k5, and k6 are enabled. To provide the
 backward compatibility, this extra flag should be explicitly specified to make the
-calibration function use the rational model and return 8 coefficients. If the flag is not
-set, the function computes and returns only 5 distortion coefficients.
+calibration function use the rational model and return 8 coefficients or more.
 -   @ref CALIB_THIN_PRISM_MODEL Coefficients s1, s2, s3 and s4 are enabled. To provide the
 backward compatibility, this extra flag should be explicitly specified to make the
-calibration function use the thin prism model and return 12 coefficients. If the flag is not
-set, the function computes and returns only 5 distortion coefficients.
+calibration function use the thin prism model and return 12 coefficients or more.
 -   @ref CALIB_FIX_S1_S2_S3_S4 The thin prism distortion coefficients are not changed during
 the optimization. If @ref CALIB_USE_INTRINSIC_GUESS is set, the coefficient from the
 supplied distCoeffs matrix is used. Otherwise, it is set to 0.
 -   @ref CALIB_TILTED_MODEL Coefficients tauX and tauY are enabled. To provide the
 backward compatibility, this extra flag should be explicitly specified to make the
-calibration function use the tilted sensor model and return 14 coefficients. If the flag is not
-set, the function computes and returns only 5 distortion coefficients.
+calibration function use the tilted sensor model and return 14 coefficients.
 -   @ref CALIB_FIX_TAUX_TAUY The coefficients of the tilted sensor model are not changed during
 the optimization. If @ref CALIB_USE_INTRINSIC_GUESS is set, the coefficient from the
 supplied distCoeffs matrix is used. Otherwise, it is set to 0.
@@ -1800,12 +1799,12 @@ The algorithm performs the following steps:
     zeros initially unless some of CALIB_FIX_K? are specified.
 
 -   Estimate the initial camera pose as if the intrinsic parameters have been already known. This is
-    done using solvePnP .
+    done using @ref solvePnP .
 
 -   Run the global Levenberg-Marquardt optimization algorithm to minimize the reprojection error,
     that is, the total sum of squared distances between the observed feature points imagePoints and
     the projected (using the current estimates for camera parameters and the poses) object points
-    objectPoints. See projectPoints for details.
+    objectPoints. See @ref projectPoints for details.
 
 @note
     If you use a non-square (i.e. non-N-by-N) grid and @ref findChessboardCorners for calibration,
diff --git a/modules/core/include/opencv2/core/cvdef.h b/modules/core/include/opencv2/core/cvdef.h
index 535883e22c..ebb1f65eb7 100644
--- a/modules/core/include/opencv2/core/cvdef.h
+++ b/modules/core/include/opencv2/core/cvdef.h
@@ -680,7 +680,7 @@ __CV_ENUM_FLAGS_BITWISE_XOR_EQ   (EnumType, EnumType)
 #  define CV_XADD(addr, delta) (int)_InterlockedExchangeAdd((long volatile*)addr, delta)
 #else
   #ifdef OPENCV_FORCE_UNSAFE_XADD
-    CV_INLINE CV_XADD(int* addr, int delta) { int tmp = *addr; *addr += delta; return tmp; }
+    CV_INLINE int CV_XADD(int* addr, int delta) { int tmp = *addr; *addr += delta; return tmp; }
   #else
     #error "OpenCV: can't define safe CV_XADD macro for current platform (unsupported). Define CV_XADD macro through custom port header (see OPENCV_INCLUDE_PORT_FILE)"
   #endif
diff --git a/modules/core/src/system.cpp b/modules/core/src/system.cpp
index f896d29c08..42524073a1 100644
--- a/modules/core/src/system.cpp
+++ b/modules/core/src/system.cpp
@@ -1737,12 +1737,31 @@ static TlsStorage &getTlsStorage()
 #ifndef _WIN32  // pthread key destructor
 static void opencv_tls_destructor(void* pData)
 {
+    if (!g_isTlsStorageInitialized)
+        return;  // nothing to release, so prefer to avoid creation of new global structures
     getTlsStorage().releaseThread(pData);
 }
 #else // _WIN32
 #ifdef CV_USE_FLS
 static void WINAPI opencv_fls_destructor(void* pData)
 {
+    // Empiric detection of ExitProcess call
+    DWORD code = STILL_ACTIVE/*259*/;
+    BOOL res = GetExitCodeProcess(GetCurrentProcess(), &code);
+    if (res && code != STILL_ACTIVE)
+    {
+        // Looks like we are in ExitProcess() call
+        // This is FLS specific only because their callback is called before DllMain.
+        // TLS doesn't have similar problem, DllMain() is called first which mark __termination properly.
+        // Note: this workaround conflicts with ExitProcess() steps order described in documentation, however it works:
+        // 3. ... called with DLL_PROCESS_DETACH
+        // 7. The termination status of the process changes from STILL_ACTIVE to the exit value of the process.
+        // (ref: https://docs.microsoft.com/en-us/windows/win32/api/processthreadsapi/nf-processthreadsapi-exitprocess)
+        cv::__termination = true;
+    }
+
+    if (!g_isTlsStorageInitialized)
+        return;  // nothing to release, so prefer to avoid creation of new global structures
     getTlsStorage().releaseThread(pData);
 }
 #endif // CV_USE_FLS
diff --git a/modules/dnn/CMakeLists.txt b/modules/dnn/CMakeLists.txt
index b0811fb223..4c8129cbda 100644
--- a/modules/dnn/CMakeLists.txt
+++ b/modules/dnn/CMakeLists.txt
@@ -176,16 +176,20 @@ ocv_add_perf_tests(${INF_ENGINE_TARGET}
     FILES Include ${perf_hdrs}
 )
 
-ocv_option(${the_module}_PERF_CAFFE "Add performance tests of Caffe framework" OFF)
-ocv_option(${the_module}_PERF_CLCAFFE "Add performance tests of clCaffe framework" OFF)
+ocv_option(OPENCV_DNN_PERF_CAFFE "Add performance tests of Caffe framework" OFF)
+ocv_option(OPENCV_DNN_PERF_CLCAFFE "Add performance tests of clCaffe framework" OFF)
 if(BUILD_PERF_TESTS)
-  if (${the_module}_PERF_CAFFE)
+  if (OPENCV_DNN_PERF_CAFFE
+      OR ${the_module}_PERF_CAFFE  # compatibility for deprecated option
+  )
     find_package(Caffe QUIET)
     if (Caffe_FOUND)
       add_definitions(-DHAVE_CAFFE=1)
       ocv_target_link_libraries(opencv_perf_dnn caffe)
     endif()
-  elseif(${the_module}_PERF_CLCAFFE)
+  elseif(OPENCV_DNN_PERF_CLCAFFE
+         OR ${the_module}_PERF_CAFFE  # compatibility for deprecated option
+  )
     find_package(Caffe QUIET)
     if (Caffe_FOUND)
       add_definitions(-DHAVE_CLCAFFE=1)
diff --git a/modules/dnn/src/ie_ngraph.cpp b/modules/dnn/src/ie_ngraph.cpp
index 49717f8513..7484032714 100644
--- a/modules/dnn/src/ie_ngraph.cpp
+++ b/modules/dnn/src/ie_ngraph.cpp
@@ -20,6 +20,9 @@
 #include <opencv2/core/utils/configuration.private.hpp>
 #include <opencv2/core/utils/logger.hpp>
 
+#include "opencv2/core/utils/filesystem.hpp"
+#include "opencv2/core/utils/filesystem.private.hpp"
+
 namespace cv { namespace dnn {
 
 #ifdef HAVE_DNN_NGRAPH
@@ -683,6 +686,23 @@ void InfEngineNgraphNet::initPlugin(InferenceEngine::CNNNetwork& net)
                 ie.SetConfig({{
                     InferenceEngine::PluginConfigParams::KEY_CPU_THREADS_NUM, format("%d", getNumThreads()),
                 }}, device_name);
+#endif
+#if INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2021_2)
+            if (device_name.find("GPU") == 0)
+            {
+#if OPENCV_HAVE_FILESYSTEM_SUPPORT
+                std::string cache_path = utils::fs::getCacheDirectory((std::string("dnn_ie_cache_") + device_name).c_str(), "OPENCV_DNN_IE_GPU_CACHE_DIR");
+#else
+                std::string cache_path = utils::getConfigurationParameterString("OPENCV_DNN_IE_GPU_CACHE_DIR", "");
+#endif
+                if (!cache_path.empty() && cache_path != "disabled")
+                {
+                    CV_LOG_INFO(NULL, "OpenCV/nGraph: using GPU kernels cache: " << cache_path);
+                    ie.SetConfig({{
+                        InferenceEngine::PluginConfigParams::KEY_CACHE_DIR, cache_path,
+                    }}, device_name);
+                }
+            }
 #endif
         }
         std::map<std::string, std::string> config;
diff --git a/modules/dnn/src/layers/crop_and_resize_layer.cpp b/modules/dnn/src/layers/crop_and_resize_layer.cpp
index a4443ed3a2..eb8822870f 100644
--- a/modules/dnn/src/layers/crop_and_resize_layer.cpp
+++ b/modules/dnn/src/layers/crop_and_resize_layer.cpp
@@ -133,7 +133,8 @@ public:
         auto input = nodes[0].dynamicCast<InfEngineNgraphNode>()->node;
         auto rois = nodes[1].dynamicCast<InfEngineNgraphNode>()->node;
 
-        std::vector<size_t> dims = rois->get_shape(), offsets(4, 0);
+        auto rois_shape = rois->get_shape();
+        std::vector<int64_t> dims(rois_shape.begin(), rois_shape.end()), offsets(4, 0);
         offsets[3] = 2;
         dims[3] = 7;
 
@@ -147,7 +148,7 @@ public:
                                       lower_bounds, upper_bounds, strides, std::vector<int64_t>{}, std::vector<int64_t>{});
 
         // Reshape rois from 4D to 2D
-        std::vector<size_t> shapeData = {dims[2], 5};
+        std::vector<int64_t> shapeData = {dims[2], 5};
         auto shape = std::make_shared<ngraph::op::Constant>(ngraph::element::i64, ngraph::Shape{2}, shapeData.data());
         auto reshape = std::make_shared<ngraph::op::v1::Reshape>(slice, shape, true);
 
diff --git a/modules/imgproc/src/contours.cpp b/modules/imgproc/src/contours.cpp
index e06caf5764..677c10d8bb 100644
--- a/modules/imgproc/src/contours.cpp
+++ b/modules/imgproc/src/contours.cpp
@@ -625,7 +625,8 @@ icvFetchContour( schar                  *ptr,
 
 /*
    trace contour until certain point is met.
-   returns 1 if met, 0 else.
+   returns 1 if met and this is the last contour
+   encountered by a raster scan reaching the point, 0 else.
 */
 static int
 icvTraceContour( schar *ptr, int step, schar *stop_ptr, int is_hole )
@@ -668,14 +669,39 @@ icvTraceContour( schar *ptr, int step, schar *stop_ptr, int is_hole )
                     break;
             }
 
-            if( i3 == stop_ptr || (i4 == i0 && i3 == i1) )
+            if (i3 == stop_ptr) {
+                if (!(*i3 & 0x80)) {
+                    /* it's the only contour */
+                    return 1;
+                }
+
+                /* check if this is the last contour */
+                /* encountered during a raster scan  */
+                schar *i5;
+                int t = s;
+                while (true)
+                {
+                    t = (t - 1) & 7;
+                    i5 = i3 + deltas[t];
+                    if (*i5 != 0)
+                        break;
+                    if (t == 0)
+                        return 1;
+                }
+            }
+
+            if( (i4 == i0 && i3 == i1) )
                 break;
 
             i3 = i4;
             s = (s + 4) & 7;
         }                       /* end of border following loop */
     }
-    return i3 == stop_ptr;
+    else {
+        return i3 == stop_ptr;
+    }
+
+    return 0;
 }
 
 
diff --git a/modules/imgproc/src/templmatch.cpp b/modules/imgproc/src/templmatch.cpp
index 7e34832fe5..e869f8d4a4 100644
--- a/modules/imgproc/src/templmatch.cpp
+++ b/modules/imgproc/src/templmatch.cpp
@@ -1101,6 +1101,7 @@ static bool ipp_sqrDistance(const Mat& src, const Mat& tpl, Mat& dst)
     buffer.allocate( bufSize );
 
     status = CV_INSTRUMENT_FUN_IPP(ippiSqrDistanceNorm, src.ptr(), (int)src.step, srcRoiSize, tpl.ptr(), (int)tpl.step, tplRoiSize, dst.ptr<Ipp32f>(), (int)dst.step, funCfg, buffer);
+    dst = cv::max(dst, 0); // handle edge case from rounding in variance computation which can result in negative values
     return status >= 0;
 }
 
diff --git a/modules/imgproc/test/test_contours.cpp b/modules/imgproc/test/test_contours.cpp
index 5043e8ff64..88e6cfd761 100644
--- a/modules/imgproc/test/test_contours.cpp
+++ b/modules/imgproc/test/test_contours.cpp
@@ -485,6 +485,55 @@ TEST(Imgproc_FindContours, border)
     ASSERT_EQ(0, cvtest::norm(img, img_draw_contours, NORM_INF));
 }
 
+TEST(Imgproc_FindContours, regression_4363_shared_nbd)
+{
+    // Create specific test image
+    Mat1b img(12, 69, (const uchar&)0);
+
+    img(1, 1) = 1;
+
+    // Vertical rectangle with hole sharing the same NBD
+    for (int r = 1; r <= 10; ++r) {
+        for (int c = 3; c <= 5; ++c) {
+            img(r, c) = 1;
+        }
+    }
+    img(9, 4) = 0;
+
+    // 124 small CCs
+    for (int r = 1; r <= 7; r += 2) {
+        for (int c = 7; c <= 67; c += 2) {
+            img(r, c) = 1;
+        }
+    }
+
+    // Last CC
+    img(9, 7) = 1;
+
+    vector< vector<Point> > contours;
+    vector<Vec4i> hierarchy;
+    findContours(img, contours, hierarchy, RETR_TREE, CHAIN_APPROX_NONE);
+
+    bool found = false;
+    size_t index = 0;
+    for (vector< vector<Point> >::const_iterator i = contours.begin(); i != contours.end(); ++i)
+    {
+        const vector<Point>& c = *i;
+        if (!c.empty() && c[0] == Point(7, 9))
+        {
+            found = true;
+            index = (size_t)(i - contours.begin());
+            break;
+        }
+    }
+    EXPECT_TRUE(found) << "Desired result: point (7,9) is a contour - Actual result: point (7,9) is not a contour";
+
+    if (found)
+    {
+        EXPECT_LT(hierarchy[index][3], 0) << "Desired result: (7,9) has no parent - Actual result: parent of (7,9) is another contour. index = " << index;
+    }
+}
+
 TEST(Imgproc_PointPolygonTest, regression_10222)
 {
     vector<Point> contour;
diff --git a/modules/imgproc/test/test_templmatch.cpp b/modules/imgproc/test/test_templmatch.cpp
index d38aa24a37..d5c16058a7 100644
--- a/modules/imgproc/test/test_templmatch.cpp
+++ b/modules/imgproc/test/test_templmatch.cpp
@@ -334,4 +334,95 @@ void CV_TemplMatchTest::prepare_to_validation( int /*test_case_idx*/ )
 
 TEST(Imgproc_MatchTemplate, accuracy) { CV_TemplMatchTest test; test.safe_run(); }
 
-}} // namespace
+}
+
+TEST(Imgproc_MatchTemplate, bug_9597) {
+        const uint8_t img[] = {
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
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+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 246, 246, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 247, 247, 247, 247, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 247, 247, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245};
+        const uint8_t tmpl[] = {
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245,
+                245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245, 245 };
+        cv::Mat cvimg(cv::Size(61, 82), CV_8UC1, (void*)img, cv::Mat::AUTO_STEP);
+        cv::Mat cvtmpl(cv::Size(17, 17), CV_8UC1, (void*)tmpl, cv::Mat::AUTO_STEP);
+        cv::Mat result;
+        cv::matchTemplate(cvimg, cvtmpl, result, CV_TM_SQDIFF);
+        double minValue;
+        cv::minMaxLoc(result, &minValue, NULL, NULL, NULL);
+        ASSERT_GE(minValue, 0);
+}
+} // namespace
diff --git a/modules/photo/src/contrast_preserve.hpp b/modules/photo/src/contrast_preserve.hpp
index 1afd4bc3e3..5681779fc9 100644
--- a/modules/photo/src/contrast_preserve.hpp
+++ b/modules/photo/src/contrast_preserve.hpp
@@ -285,9 +285,9 @@ void Decolor::grad_system(const Mat &im, vector < vector < double > > &polyGrad,
                     add_vector(comb,idx,r,g,b);
                     for(int i = 0;i<h;i++)
                         for(int j=0;j<w;j++)
-                            curIm.at<float>(i,j)=
+                            curIm.at<float>(i,j)=static_cast<float>(
                                 pow(rgb_channel[2].at<float>(i,j),r)*pow(rgb_channel[1].at<float>(i,j),g)*
-                                pow(rgb_channel[0].at<float>(i,j),b);
+                                pow(rgb_channel[0].at<float>(i,j),b));
                     vector <double> curGrad;
                     gradvector(curIm,curGrad);
                     add_to_vector_poly(polyGrad,curGrad,idx1);
diff --git a/modules/stitching/src/matchers.cpp b/modules/stitching/src/matchers.cpp
index 5e96822e81..4791584366 100644
--- a/modules/stitching/src/matchers.cpp
+++ b/modules/stitching/src/matchers.cpp
@@ -496,7 +496,7 @@ void BestOf2NearestRangeMatcher::operator ()(const std::vector<ImageFeatures> &f
 
     std::vector<std::pair<int,int> > near_pairs;
     for (int i = 0; i < num_images - 1; ++i)
-        for (int j = i + 1; j < std::min(num_images, i + range_width_); ++j)
+        for (int j = i + 1; j < std::min(num_images, i + 1 + range_width_); ++j)
             if (features[i].keypoints.size() > 0 && features[j].keypoints.size() > 0 && mask_(i, j))
                 near_pairs.push_back(std::make_pair(i, j));
 
diff --git a/modules/video/src/ecc.cpp b/modules/video/src/ecc.cpp
index b7148c22ef..eede0e7071 100644
--- a/modules/video/src/ecc.cpp
+++ b/modules/video/src/ecc.cpp
@@ -323,17 +323,34 @@ double cv::computeECC(InputArray templateImage, InputArray inputImage, InputArra
     Scalar meanTemplate, sdTemplate;
 
     int active_pixels = inputMask.empty() ? templateImage.size().area() : countNonZero(inputMask);
-
+    int type = templateImage.type();
     meanStdDev(templateImage, meanTemplate, sdTemplate, inputMask);
     Mat templateImage_zeromean = Mat::zeros(templateImage.size(), templateImage.type());
-    subtract(templateImage, meanTemplate, templateImage_zeromean, inputMask);
+    Mat templateMat = templateImage.getMat();
+    Mat inputMat = inputImage.getMat();
+
+    /*
+     * For unsigned ints, when the mean is computed and subtracted, any values less than the mean
+     * will be set to 0 (since there are no negatives values). This impacts the norm and dot product, which
+     * ultimately results in an incorrect ECC. To circumvent this problem, if unsigned ints are provided,
+     * we convert them to a signed ints with larger resolution for the subtraction step.
+     */
+    if(type == CV_8U || type == CV_16U) {
+        int newType = type == CV_8U ? CV_16S : CV_32S;
+        Mat templateMatConverted, inputMatConverted;
+        templateMat.convertTo(templateMatConverted, newType);
+        cv::swap(templateMat, templateMatConverted);
+        inputMat.convertTo(inputMatConverted, newType);
+        cv::swap(inputMat, inputMatConverted);
+    }
+    subtract(templateMat, meanTemplate, templateImage_zeromean, inputMask);
     double templateImagenorm = std::sqrt(active_pixels*sdTemplate.val[0]*sdTemplate.val[0]);
 
     Scalar meanInput, sdInput;
 
     Mat inputImage_zeromean = Mat::zeros(inputImage.size(), inputImage.type());
     meanStdDev(inputImage, meanInput, sdInput, inputMask);
-    subtract(inputImage, meanInput, inputImage_zeromean, inputMask);
+    subtract(inputMat, meanInput, inputImage_zeromean, inputMask);
     double inputImagenorm = std::sqrt(active_pixels*sdInput.val[0]*sdInput.val[0]);
 
     return templateImage_zeromean.dot(inputImage_zeromean)/(templateImagenorm*inputImagenorm);
diff --git a/modules/video/test/test_ecc.cpp b/modules/video/test/test_ecc.cpp
index 84c5b851f5..21a5ae3915 100644
--- a/modules/video/test/test_ecc.cpp
+++ b/modules/video/test/test_ecc.cpp
@@ -501,6 +501,18 @@ TEST(Video_ECC_Test_Compute, accuracy)
     EXPECT_NEAR(ecc, -0.5f, 1e-5f);
 }
 
+TEST(Video_ECC_Test_Compute, bug_14657)
+{
+    /*
+     * Simple test case - a 2 x 2 matrix with 10, 10, 10, 6. When the mean (36 / 4 = 9) is subtracted,
+     * it results in 1, 1, 1, 0 for the unsigned int case - compare to  1, 1, 1, -3 in the signed case.
+     * For this reason, when the same matrix was provided as the input and the template, we didn't get 1 as expected.
+     */
+    Mat img = (Mat_<uint8_t>(2, 2) << 10, 10, 10, 6);
+    EXPECT_NEAR(computeECC(img, img), 1.0f, 1e-5f);
+}
+
+
 TEST(Video_ECC_Translation, accuracy) { CV_ECC_Test_Translation test; test.safe_run();}
 TEST(Video_ECC_Euclidean, accuracy) { CV_ECC_Test_Euclidean test; test.safe_run(); }
 TEST(Video_ECC_Affine, accuracy) { CV_ECC_Test_Affine test; test.safe_run(); }
diff --git a/samples/cpp/squares.cpp b/samples/cpp/squares.cpp
index 042a716f90..2ea824decd 100644
--- a/samples/cpp/squares.cpp
+++ b/samples/cpp/squares.cpp
@@ -123,14 +123,14 @@ static void findSquares( const Mat& image, vector<vector<Point> >& squares )
 
 int main(int argc, char** argv)
 {
-    static const char* names[] = { "pic1.png", "pic2.png", "pic3.png",
+    const char* names[] = { "pic1.png", "pic2.png", "pic3.png",
         "pic4.png", "pic5.png", "pic6.png", 0 };
     help(argv[0]);
 
     if( argc > 1)
     {
      names[0] =  argv[1];
-     names[1] =  "0";
+     names[1] =  0;
     }
 
     for( int i = 0; names[i] != 0; i++ )