diff --git a/modules/stitching/blenders.hpp b/modules/stitching/blenders.hpp
index e2da22548a..26c630968e 100644
--- a/modules/stitching/blenders.hpp
+++ b/modules/stitching/blenders.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_BLENDERS_HPP_
-#define _OPENCV_BLENDERS_HPP_
+#ifndef __OPENCV_BLENDERS_HPP__
+#define __OPENCV_BLENDERS_HPP__
 
 #include <vector>
 #include <opencv2/core/core.hpp>
@@ -68,4 +68,4 @@ void createLaplacePyr(const std::vector<cv::Mat>& pyr_gauss, std::vector<cv::Mat
 // Restores source image in-place. Result will be in pyr[0].
 void restoreImageFromLaplacePyr(std::vector<cv::Mat>& pyr);
 
-#endif // _OPENCV_BLENDERS_HPP_
+#endif // __OPENCV_BLENDERS_HPP__
diff --git a/modules/stitching/focal_estimators.hpp b/modules/stitching/focal_estimators.hpp
index 9cc0428fe3..d7fcbd0069 100644
--- a/modules/stitching/focal_estimators.hpp
+++ b/modules/stitching/focal_estimators.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_FOCAL_ESTIMATORS_HPP_
-#define _OPENCV_FOCAL_ESTIMATORS_HPP_
+#ifndef __OPENCV_FOCAL_ESTIMATORS_HPP__
+#define __OPENCV_FOCAL_ESTIMATORS_HPP__
 
 #include <opencv2/core/core.hpp>
 
@@ -9,4 +9,4 @@ void focalsFromHomography(const cv::Mat &H, double &f0, double &f1, bool &f0_ok,
 
 bool focalsFromFundamental(const cv::Mat &F, double &f0, double &f1);
 
-#endif // _OPENCV_FOCAL_ESTIMATORS_HPP_
+#endif // __OPENCV_FOCAL_ESTIMATORS_HPP__
diff --git a/modules/stitching/main.cpp b/modules/stitching/main.cpp
index f0aef8c48b..38e512406a 100644
--- a/modules/stitching/main.cpp
+++ b/modules/stitching/main.cpp
@@ -9,10 +9,10 @@
 using namespace std;
 using namespace cv;
 
-void printHelp()
+void printUsage()
 {
-    cout << "Rotation model stitcher.\n" 
-        << "Usage: stitch img1 img2 [...imgN]\n" 
+    cout << "Rotation model images stitcher.\n" 
+        << "Usage: opencv_stitching img1 img2 [...imgN]\n" 
         << "\t[--matchconf <0.0-1.0>]\n"
         << "\t[--ba (ray_space|focal_ray_space)]\n"
         << "\t[--warp (plane|cylindrical|spherical)]\n" 
@@ -30,13 +30,13 @@ int main(int argc, char* argv[])
     int ba_space = BundleAdjuster::RAY_SPACE;
     int warp_type = Warper::SPHERICAL;
     bool user_match_conf = false;
-    float match_conf;
+    float match_conf = 0.55f;
     int seam_find_type = SeamFinder::GRAPH_CUT;
     int blend_type = Blender::MULTI_BAND;
 
     if (argc == 1)
     {
-        printHelp();
+        printUsage();
         return 0;
     }
 
@@ -172,7 +172,7 @@ int main(int argc, char* argv[])
         focals.push_back(cameras[i].focal);
     }
     nth_element(focals.begin(), focals.end(), focals.begin() + focals.size() / 2);
-    float camera_focal = focals[focals.size() / 2];
+    float camera_focal = static_cast<float>(focals[focals.size() / 2]);
 
     vector<Mat> masks(num_images);
     for (int i = 0; i < num_images; ++i)
@@ -189,8 +189,8 @@ int main(int argc, char* argv[])
     Ptr<Warper> warper = Warper::createByCameraFocal(camera_focal, warp_type);
     for (int i = 0; i < num_images; ++i)
     {
-        corners[i] = (*warper)(images[i], cameras[i].focal, cameras[i].M, images_warped[i]);
-        (*warper)(masks[i], cameras[i].focal, cameras[i].M, masks_warped[i], INTER_NEAREST, BORDER_CONSTANT);
+        corners[i] = (*warper)(images[i], static_cast<float>(cameras[i].focal), cameras[i].M, images_warped[i]);
+        (*warper)(masks[i], static_cast<float>(cameras[i].focal), cameras[i].M, masks_warped[i], INTER_NEAREST, BORDER_CONSTANT);
     }
     vector<Mat> images_f(num_images);
     for (int i = 0; i < num_images; ++i)
diff --git a/modules/stitching/motion_estimators.cpp b/modules/stitching/motion_estimators.cpp
index 5a3fbfe691..a40afd4302 100644
--- a/modules/stitching/motion_estimators.cpp
+++ b/modules/stitching/motion_estimators.cpp
@@ -242,8 +242,8 @@ namespace
             const DMatch& m0 = pair_matches[i][0];
             const DMatch& m1 = pair_matches[i][1];
 
-            CV_Assert(m0.queryIdx < features1.keypoints.size());
-            CV_Assert(m0.trainIdx < features2.keypoints.size());
+            CV_Assert(m0.queryIdx < static_cast<int>(features1.keypoints.size()));
+            CV_Assert(m0.trainIdx < static_cast<int>(features2.keypoints.size()));
 
             if (m0.distance < (1.f - match_conf_) * m1.distance)
                 matches_info.matches.push_back(m0);
@@ -260,8 +260,8 @@ namespace
             const DMatch& m0 = pair_matches[i][0];
             const DMatch& m1 = pair_matches[i][1];
 
-            CV_Assert(m0.trainIdx < features1.keypoints.size());
-            CV_Assert(m0.queryIdx < features2.keypoints.size());
+            CV_Assert(m0.trainIdx < static_cast<int>(features1.keypoints.size()));
+            CV_Assert(m0.queryIdx < static_cast<int>(features2.keypoints.size()));
 
             if (m0.distance < (1.f - match_conf_) * m1.distance)
                 matches_info.matches.push_back(DMatch(m0.trainIdx, m0.queryIdx, m0.distance));
@@ -416,7 +416,7 @@ struct CalcRotation
 };
 
 
-void HomographyBasedEstimator::estimate(const vector<Mat> &images, const vector<ImageFeatures> &features,
+void HomographyBasedEstimator::estimate(const vector<Mat> &images, const vector<ImageFeatures> &/*features*/,
                                         const vector<MatchesInfo> &pairwise_matches, vector<CameraParams> &cameras)
 {
     const int num_images = static_cast<int>(images.size());
@@ -514,7 +514,6 @@ void BundleAdjuster::estimate(const vector<Mat> &images, const vector<ImageFeatu
     cvCopy(&matParams, solver.param);
 
     int count = 0;
-    double last_err = numeric_limits<double>::max();
     for(;;)
     {
         const CvMat* _param = 0;
@@ -580,8 +579,8 @@ void BundleAdjuster::calcError(Mat &err)
     {
         int i = edges_[edge_idx].first;
         int j = edges_[edge_idx].second;
-        float f1 = static_cast<float>(cameras_.at<double>(i * 4, 0));
-        float f2 = static_cast<float>(cameras_.at<double>(j * 4, 0));
+        double f1 = cameras_.at<double>(i * 4, 0);
+        double f2 = cameras_.at<double>(j * 4, 0);
         double R1[9], R2[9];
         Mat R1_(3, 3, CV_64F, R1), R2_(3, 3, CV_64F, R2);
         Mat rvec(3, 1, CV_64F);
@@ -602,25 +601,25 @@ void BundleAdjuster::calcError(Mat &err)
         {
             const DMatch& m = matches_info.matches[k];
 
-            Point2f kp1 = features1.keypoints[m.queryIdx].pt;
-            kp1.x -= 0.5f * images_[i].cols;
-            kp1.y -= 0.5f * images_[i].rows;
-            Point2f kp2 = features2.keypoints[m.trainIdx].pt;
-            kp2.x -= 0.5f * images_[j].cols;
-            kp2.y -= 0.5f * images_[j].rows;
-            float len1 = sqrt(kp1.x * kp1.x + kp1.y * kp1.y + f1 * f1);
-            float len2 = sqrt(kp2.x * kp2.x + kp2.y * kp2.y + f2 * f2);
-            Point3f p1(kp1.x / len1, kp1.y / len1, f1 / len1);
-            Point3f p2(kp2.x / len2, kp2.y / len2, f2 / len2);
-
-            Point3f d1(p1.x * R1[0] + p1.y * R1[1] + p1.z * R1[2],
+            Point2d kp1 = features1.keypoints[m.queryIdx].pt;
+            kp1.x -= 0.5 * images_[i].cols;
+            kp1.y -= 0.5 * images_[i].rows;
+            Point2d kp2 = features2.keypoints[m.trainIdx].pt;
+            kp2.x -= 0.5 * images_[j].cols;
+            kp2.y -= 0.5 * images_[j].rows;
+            double len1 = sqrt(kp1.x * kp1.x + kp1.y * kp1.y + f1 * f1);
+            double len2 = sqrt(kp2.x * kp2.x + kp2.y * kp2.y + f2 * f2);
+            Point3d p1(kp1.x / len1, kp1.y / len1, f1 / len1);
+            Point3d p2(kp2.x / len2, kp2.y / len2, f2 / len2);
+
+            Point3d d1(p1.x * R1[0] + p1.y * R1[1] + p1.z * R1[2],
                        p1.x * R1[3] + p1.y * R1[4] + p1.z * R1[5],
                        p1.x * R1[6] + p1.y * R1[7] + p1.z * R1[8]);
-            Point3f d2(p2.x * R2[0] + p2.y * R2[1] + p2.z * R2[2],
+            Point3d d2(p2.x * R2[0] + p2.y * R2[1] + p2.z * R2[2],
                        p2.x * R2[3] + p2.y * R2[4] + p2.z * R2[5],
                        p2.x * R2[6] + p2.y * R2[7] + p2.z * R2[8]);
 
-            float mult = 1.f;
+            double mult = 1;
             if (cost_space_ == FOCAL_RAY_SPACE)
                 mult = sqrt(f1 * f2);
             err.at<double>(3 * match_idx, 0) = mult * (d1.x - d2.x);
diff --git a/modules/stitching/motion_estimators.hpp b/modules/stitching/motion_estimators.hpp
index 48bab25ce4..8540114577 100644
--- a/modules/stitching/motion_estimators.hpp
+++ b/modules/stitching/motion_estimators.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_MOTION_ESTIMATORS_HPP_
-#define _OPENCV_MOTION_ESTIMATORS_HPP_
+#ifndef __OPENCV_MOTION_ESTIMATORS_HPP__
+#define __OPENCV_MOTION_ESTIMATORS_HPP__
 
 #include <vector>
 #include <opencv2/core/core.hpp>
@@ -154,4 +154,4 @@ private:
 void findMaxSpanningTree(int num_images, const std::vector<MatchesInfo> &pairwise_matches, 
                          Graph &span_tree, std::vector<int> &centers);
 
-#endif // _OPENCV_MOTION_ESTIMATORS_HPP_
+#endif // __OPENCV_MOTION_ESTIMATORS_HPP__
diff --git a/modules/stitching/seam_finders.hpp b/modules/stitching/seam_finders.hpp
index 432bff2a17..197acc3c11 100644
--- a/modules/stitching/seam_finders.hpp
+++ b/modules/stitching/seam_finders.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_SEAM_FINDERS_HPP_
-#define _OPENCV_SEAM_FINDERS_HPP_
+#ifndef __OPENCV_SEAM_FINDERS_HPP__
+#define __OPENCV_SEAM_FINDERS_HPP__
 
 #include <vector>
 #include <opencv2/core/core.hpp>
@@ -65,4 +65,4 @@ private:
     cv::Ptr<Impl> impl_;
 };
 
-#endif // _OPENCV_SEAM_FINDERS_HPP_
+#endif // __OPENCV_SEAM_FINDERS_HPP__
diff --git a/modules/stitching/util.hpp b/modules/stitching/util.hpp
index 43b3f21a0f..52ac6e4272 100644
--- a/modules/stitching/util.hpp
+++ b/modules/stitching/util.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_STITCHING_UTIL_HPP_
-#define _OPENCV_STITCHING_UTIL_HPP_
+#ifndef __OPENCV_STITCHING_UTIL_HPP__
+#define __OPENCV_STITCHING_UTIL_HPP__
 
 #include <vector>
 #include <list>
@@ -69,4 +69,4 @@ private:
 
 #include "util_inl.hpp"
 
-#endif // _OPENCV_STITCHING_UTIL_HPP_
+#endif // __OPENCV_STITCHING_UTIL_HPP__
diff --git a/modules/stitching/util_inl.hpp b/modules/stitching/util_inl.hpp
index 4fbdf543df..73a2d77def 100644
--- a/modules/stitching/util_inl.hpp
+++ b/modules/stitching/util_inl.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_STITCHING_UTIL_INL_HPP_
-#define _OPENCV_STITCHING_UTIL_INL_HPP_
+#ifndef __OPENCV_STITCHING_UTIL_INL_HPP__
+#define __OPENCV_STITCHING_UTIL_INL_HPP__
 
 #include <queue>
 #include "util.hpp" // Make your IDE see declarations
@@ -71,4 +71,4 @@ T sqr(T x)
     return x * x;
 }
 
-#endif // _OPENCV_STITCHING_UTIL_INL_HPP_
+#endif // __OPENCV_STITCHING_UTIL_INL_HPP__
diff --git a/modules/stitching/warpers.cpp b/modules/stitching/warpers.cpp
index 35cc64d566..d2eacdc9b9 100644
--- a/modules/stitching/warpers.cpp
+++ b/modules/stitching/warpers.cpp
@@ -3,7 +3,7 @@
 using namespace std;
 using namespace cv;
 
-Ptr<Warper> Warper::createByCameraFocal(int focal, int type)
+Ptr<Warper> Warper::createByCameraFocal(float focal, int type)
 {
     if (type == PLANE)
         return new PlaneWarper(focal);
diff --git a/modules/stitching/warpers.hpp b/modules/stitching/warpers.hpp
index 0e04b6250a..2a9c315ef3 100644
--- a/modules/stitching/warpers.hpp
+++ b/modules/stitching/warpers.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_WARPERS_HPP_
-#define _OPENCV_WARPERS_HPP_
+#ifndef __OPENCV_WARPERS_HPP__
+#define __OPENCV_WARPERS_HPP__
 
 #include <opencv2/core/core.hpp>
 #include <opencv2/imgproc/imgproc.hpp>
@@ -9,7 +9,7 @@ class Warper
 public:
     enum { PLANE, CYLINDRICAL, SPHERICAL };
 
-    static cv::Ptr<Warper> createByCameraFocal(int focal, int type);
+    static cv::Ptr<Warper> createByCameraFocal(float focal, int type);
 
     virtual ~Warper() {}
 
@@ -118,4 +118,4 @@ private:
 
 #include "warpers_inl.hpp"
 
-#endif // _OPENCV_WARPERS_HPP_
+#endif // __OPENCV_WARPERS_HPP__
diff --git a/modules/stitching/warpers_inl.hpp b/modules/stitching/warpers_inl.hpp
index b3a2580937..545bf3bc03 100644
--- a/modules/stitching/warpers_inl.hpp
+++ b/modules/stitching/warpers_inl.hpp
@@ -1,5 +1,5 @@
-#ifndef _OPENCV_WARPERS_INL_HPP_
-#define _OPENCV_WARPERS_INL_HPP_
+#ifndef __OPENCV_WARPERS_INL_HPP__
+#define __OPENCV_WARPERS_INL_HPP__
 
 #include "warpers.hpp" // Make your IDE see declarations
 
@@ -195,4 +195,4 @@ void CylindricalProjector::mapBackward(float u, float v, float &x, float &y)
     y = focal * y / z + size.height * 0.5f;
 }
 
-#endif // _OPENCV_WARPERS_INL_HPP_
+#endif // __OPENCV_WARPERS_INL_HPP__