diff --git a/samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp b/samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp
index e0e53e370..33a8334c6 100644
--- a/samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp
+++ b/samples/android/face-detection/jni/DetectionBasedTracker_jni.cpp
@@ -26,7 +26,7 @@ public:
             Detector(detector)
     {
         LOGD("CascadeDetectorAdapter::Detect::Detect");
-        CV_Assert(!detector.empty());
+        CV_Assert(detector);
     }
 
     void detect(const cv::Mat &Image, std::vector<cv::Rect> &objects)
@@ -57,11 +57,11 @@ struct DetectorAgregator
             mainDetector(_mainDetector),
             trackingDetector(_trackingDetector)
     {
-        CV_Assert(!_mainDetector.empty());
-        CV_Assert(!_trackingDetector.empty());
+        CV_Assert(_mainDetector);
+        CV_Assert(_trackingDetector);
 
         DetectionBasedTracker::Parameters DetectorParams;
-        tracker = new DetectionBasedTracker(mainDetector.ptr<DetectionBasedTracker::IDetector>(), trackingDetector.ptr<DetectionBasedTracker::IDetector>(), DetectorParams);
+        tracker = makePtr<DetectionBasedTracker>(mainDetector, trackingDetector, DetectorParams);
     }
 };
 
@@ -77,8 +77,10 @@ JNIEXPORT jlong JNICALL Java_org_opencv_samples_facedetect_DetectionBasedTracker
 
     try
     {
-        cv::Ptr<CascadeDetectorAdapter> mainDetector = new CascadeDetectorAdapter(new CascadeClassifier(stdFileName));
-        cv::Ptr<CascadeDetectorAdapter> trackingDetector = new CascadeDetectorAdapter(new CascadeClassifier(stdFileName));
+        cv::Ptr<CascadeDetectorAdapter> mainDetector = makePtr<CascadeDetectorAdapter>(
+            makePtr<CascadeClassifier>(stdFileName));
+        cv::Ptr<CascadeDetectorAdapter> trackingDetector = makePtr<CascadeDetectorAdapter>(
+            makePtr<CascadeClassifier>(stdFileName));
         result = (jlong)new DetectorAgregator(mainDetector, trackingDetector);
         if (faceSize > 0)
         {
diff --git a/samples/cpp/bagofwords_classification.cpp b/samples/cpp/bagofwords_classification.cpp
index e24a770f8..4506e5b9d 100644
--- a/samples/cpp/bagofwords_classification.cpp
+++ b/samples/cpp/bagofwords_classification.cpp
@@ -2563,19 +2563,19 @@ int main(int argc, char** argv)
     Ptr<FeatureDetector> featureDetector = FeatureDetector::create( ddmParams.detectorType );
     Ptr<DescriptorExtractor> descExtractor = DescriptorExtractor::create( ddmParams.descriptorType );
     Ptr<BOWImgDescriptorExtractor> bowExtractor;
-    if( featureDetector.empty() || descExtractor.empty() )
+    if( !featureDetector || !descExtractor )
     {
         cout << "featureDetector or descExtractor was not created" << endl;
         return -1;
     }
     {
         Ptr<DescriptorMatcher> descMatcher = DescriptorMatcher::create( ddmParams.matcherType );
-        if( featureDetector.empty() || descExtractor.empty() || descMatcher.empty() )
+        if( !featureDetector || !descExtractor || !descMatcher )
         {
             cout << "descMatcher was not created" << endl;
             return -1;
         }
-        bowExtractor = new BOWImgDescriptorExtractor( descExtractor, descMatcher );
+        bowExtractor = makePtr<BOWImgDescriptorExtractor>( descExtractor, descMatcher );
     }
 
     // Print configuration to screen
diff --git a/samples/cpp/bgfg_gmg.cpp b/samples/cpp/bgfg_gmg.cpp
index ea1df98d0..226eea463 100644
--- a/samples/cpp/bgfg_gmg.cpp
+++ b/samples/cpp/bgfg_gmg.cpp
@@ -35,7 +35,7 @@ int main(int argc, char** argv)
     setNumThreads(8);
 
     Ptr<BackgroundSubtractor> fgbg = createBackgroundSubtractorGMG(20, 0.7);
-    if (fgbg.empty())
+    if (!fgbg)
     {
         std::cerr << "Failed to create BackgroundSubtractor.GMG Algorithm." << std::endl;
         return -1;
diff --git a/samples/cpp/dbt_face_detection.cpp b/samples/cpp/dbt_face_detection.cpp
index c2e6d0a81..651eaff73 100644
--- a/samples/cpp/dbt_face_detection.cpp
+++ b/samples/cpp/dbt_face_detection.cpp
@@ -22,7 +22,7 @@ class CascadeDetectorAdapter: public DetectionBasedTracker::IDetector
             IDetector(),
             Detector(detector)
         {
-            CV_Assert(!detector.empty());
+            CV_Assert(detector);
         }
 
         void detect(const cv::Mat &Image, std::vector<cv::Rect> &objects)
@@ -51,11 +51,11 @@ int main(int , char** )
     }
 
     std::string cascadeFrontalfilename = "../../data/lbpcascades/lbpcascade_frontalface.xml";
-    cv::Ptr<cv::CascadeClassifier> cascade = new cv::CascadeClassifier(cascadeFrontalfilename);
-    cv::Ptr<DetectionBasedTracker::IDetector> MainDetector = new CascadeDetectorAdapter(cascade);
+    cv::Ptr<cv::CascadeClassifier> cascade = makePtr<cv::CascadeClassifier>(cascadeFrontalfilename);
+    cv::Ptr<DetectionBasedTracker::IDetector> MainDetector = makePtr<CascadeDetectorAdapter>(cascade);
 
-    cascade = new cv::CascadeClassifier(cascadeFrontalfilename);
-    cv::Ptr<DetectionBasedTracker::IDetector> TrackingDetector = new CascadeDetectorAdapter(cascade);
+    cascade = makePtr<cv::CascadeClassifier>(cascadeFrontalfilename);
+    cv::Ptr<DetectionBasedTracker::IDetector> TrackingDetector = makePtr<CascadeDetectorAdapter>(cascade);
 
     DetectionBasedTracker::Parameters params;
     DetectionBasedTracker Detector(MainDetector, TrackingDetector, params);
diff --git a/samples/cpp/descriptor_extractor_matcher.cpp b/samples/cpp/descriptor_extractor_matcher.cpp
index 43baed2fe..7df3cd02b 100644
--- a/samples/cpp/descriptor_extractor_matcher.cpp
+++ b/samples/cpp/descriptor_extractor_matcher.cpp
@@ -153,7 +153,7 @@ static void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
     {
         cout << "< Evaluate descriptor matcher..." << endl;
         vector<Point2f> curve;
-        Ptr<GenericDescriptorMatcher> gdm = new VectorDescriptorMatcher( descriptorExtractor, descriptorMatcher );
+        Ptr<GenericDescriptorMatcher> gdm = makePtr<VectorDescriptorMatcher>( descriptorExtractor, descriptorMatcher );
         evaluateGenericDescriptorMatcher( img1, img2, H12, keypoints1, keypoints2, 0, 0, curve, gdm );
 
         Point2f firstPoint = *curve.begin();
@@ -253,7 +253,7 @@ int main(int argc, char** argv)
     int mactherFilterType = getMatcherFilterType( argv[4] );
     bool eval = !isWarpPerspective ? false : (atoi(argv[6]) == 0 ? false : true);
     cout << ">" << endl;
-    if( detector.empty() || descriptorExtractor.empty() || descriptorMatcher.empty()  )
+    if( !detector || !descriptorExtractor || !descriptorMatcher )
     {
         cout << "Can not create detector or descriptor exstractor or descriptor matcher of given types" << endl;
         return -1;
diff --git a/samples/cpp/detection_based_tracker_sample.cpp b/samples/cpp/detection_based_tracker_sample.cpp
index 1debff7e3..81afa789c 100644
--- a/samples/cpp/detection_based_tracker_sample.cpp
+++ b/samples/cpp/detection_based_tracker_sample.cpp
@@ -67,7 +67,7 @@ class CascadeDetectorAdapter: public DetectionBasedTracker::IDetector
         CascadeDetectorAdapter(cv::Ptr<cv::CascadeClassifier> detector):
             Detector(detector)
         {
-            CV_Assert(!detector.empty());
+            CV_Assert(detector);
         }
 
         void detect(const cv::Mat &Image, std::vector<cv::Rect> &objects)
@@ -117,11 +117,11 @@ static int test_FaceDetector(int argc, char *argv[])
     }
 
     std::string cascadeFrontalfilename=cascadefile;
-    cv::Ptr<cv::CascadeClassifier> cascade = new cv::CascadeClassifier(cascadeFrontalfilename);
-    cv::Ptr<DetectionBasedTracker::IDetector> MainDetector = new CascadeDetectorAdapter(cascade);
+    cv::Ptr<cv::CascadeClassifier> cascade = makePtr<cv::CascadeClassifier>(cascadeFrontalfilename);
+    cv::Ptr<DetectionBasedTracker::IDetector> MainDetector = makePtr<CascadeDetectorAdapter>(cascade);
 
-    cascade = new cv::CascadeClassifier(cascadeFrontalfilename);
-    cv::Ptr<DetectionBasedTracker::IDetector> TrackingDetector = new CascadeDetectorAdapter(cascade);
+    cascade = makePtr<cv::CascadeClassifier>(cascadeFrontalfilename);
+    cv::Ptr<DetectionBasedTracker::IDetector> TrackingDetector = makePtr<CascadeDetectorAdapter>(cascade);
 
     DetectionBasedTracker::Parameters params;
     DetectionBasedTracker fd(MainDetector, TrackingDetector, params);
diff --git a/samples/cpp/detector_descriptor_evaluation.cpp b/samples/cpp/detector_descriptor_evaluation.cpp
index ece735a50..dd3cd800e 100644
--- a/samples/cpp/detector_descriptor_evaluation.cpp
+++ b/samples/cpp/detector_descriptor_evaluation.cpp
@@ -535,7 +535,7 @@ void DetectorQualityEvaluator::readAlgorithm ()
 {
     defaultDetector = FeatureDetector::create( algName );
     specificDetector = FeatureDetector::create( algName );
-    if( defaultDetector.empty() )
+    if( !defaultDetector )
     {
         printf( "Algorithm can not be read\n" );
         exit(-1);
@@ -769,14 +769,14 @@ void DescriptorQualityEvaluator::readAlgorithm( )
     defaultDescMatcher = GenericDescriptorMatcher::create( algName );
     specificDescMatcher = GenericDescriptorMatcher::create( algName );
 
-    if( defaultDescMatcher.empty() )
+    if( !defaultDescMatcher )
     {
         Ptr<DescriptorExtractor> extractor = DescriptorExtractor::create( algName );
         Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create( matcherName );
-        defaultDescMatcher = new VectorDescriptorMatch( extractor, matcher );
-        specificDescMatcher = new VectorDescriptorMatch( extractor, matcher );
+        defaultDescMatcher = makePtr<VectorDescriptorMatch>( extractor, matcher );
+        specificDescMatcher = makePtr<VectorDescriptorMatch>( extractor, matcher );
 
-        if( extractor.empty() || matcher.empty() )
+        if( !extractor || !matcher )
         {
             printf("Algorithm can not be read\n");
             exit(-1);
@@ -881,8 +881,9 @@ public:
     virtual void readAlgorithm( )
     {
         string classifierFile = data_path + "/features2d/calonder_classifier.rtc";
-        defaultDescMatcher = new VectorDescriptorMatch( new CalonderDescriptorExtractor<float>( classifierFile ),
-                                                        new BFMatcher(NORM_L2) );
+        defaultDescMatcher = makePtr<VectorDescriptorMatch>(
+            makePtr<CalonderDescriptorExtractor<float> >( classifierFile ),
+            makePtr<BFMatcher>(int(NORM_L2)));
         specificDescMatcher = defaultDescMatcher;
     }
 };
@@ -922,10 +923,11 @@ void OneWayDescriptorQualityTest::processRunParamsFile ()
 
     readAllDatasetsRunParams();
 
-    OneWayDescriptorBase *base = new OneWayDescriptorBase(patchSize, poseCount, pcaFilename,
-                                               trainPath, trainImagesList);
+    Ptr<OneWayDescriptorBase> base(
+        new OneWayDescriptorBase(patchSize, poseCount, pcaFilename,
+                                 trainPath, trainImagesList));
 
-    OneWayDescriptorMatch *match = new OneWayDescriptorMatch ();
+    Ptr<OneWayDescriptorMatch> match = makePtr<OneWayDescriptorMatch>();
     match->initialize( OneWayDescriptorMatch::Params (), base );
     defaultDescMatcher = match;
     writeAllDatasetsRunParams();
@@ -958,18 +960,18 @@ int main( int argc, char** argv )
 
     Ptr<BaseQualityEvaluator> evals[] =
     {
-        new DetectorQualityEvaluator( "FAST", "quality-detector-fast" ),
-        new DetectorQualityEvaluator( "GFTT", "quality-detector-gftt" ),
-        new DetectorQualityEvaluator( "HARRIS", "quality-detector-harris" ),
-        new DetectorQualityEvaluator( "MSER", "quality-detector-mser" ),
-        new DetectorQualityEvaluator( "STAR", "quality-detector-star" ),
-        new DetectorQualityEvaluator( "SIFT", "quality-detector-sift" ),
-        new DetectorQualityEvaluator( "SURF", "quality-detector-surf" ),
+        makePtr<DetectorQualityEvaluator>( "FAST", "quality-detector-fast" ),
+        makePtr<DetectorQualityEvaluator>( "GFTT", "quality-detector-gftt" ),
+        makePtr<DetectorQualityEvaluator>( "HARRIS", "quality-detector-harris" ),
+        makePtr<DetectorQualityEvaluator>( "MSER", "quality-detector-mser" ),
+        makePtr<DetectorQualityEvaluator>( "STAR", "quality-detector-star" ),
+        makePtr<DetectorQualityEvaluator>( "SIFT", "quality-detector-sift" ),
+        makePtr<DetectorQualityEvaluator>( "SURF", "quality-detector-surf" ),
 
-        new DescriptorQualityEvaluator( "SIFT", "quality-descriptor-sift", "BruteForce" ),
-        new DescriptorQualityEvaluator( "SURF", "quality-descriptor-surf", "BruteForce" ),
-        new DescriptorQualityEvaluator( "FERN", "quality-descriptor-fern"),
-        new CalonderDescriptorQualityEvaluator()
+        makePtr<DescriptorQualityEvaluator>( "SIFT", "quality-descriptor-sift", "BruteForce" ),
+        makePtr<DescriptorQualityEvaluator>( "SURF", "quality-descriptor-surf", "BruteForce" ),
+        makePtr<DescriptorQualityEvaluator>( "FERN", "quality-descriptor-fern"),
+        makePtr<CalonderDescriptorQualityEvaluator>()
     };
 
     for( size_t i = 0; i < sizeof(evals)/sizeof(evals[0]); i++ )
diff --git a/samples/cpp/fabmap_sample.cpp b/samples/cpp/fabmap_sample.cpp
index 75febb134..cd06b55cb 100644
--- a/samples/cpp/fabmap_sample.cpp
+++ b/samples/cpp/fabmap_sample.cpp
@@ -131,11 +131,11 @@ int main(int argc, char * argv[]) {
     //generate test data
     cout << "Extracting Test Data from images" << endl <<
         endl;
-    Ptr<FeatureDetector> detector =
+    Ptr<FeatureDetector> detector(
         new DynamicAdaptedFeatureDetector(
-        AdjusterAdapter::create("STAR"), 130, 150, 5);
-    Ptr<DescriptorExtractor> extractor =
-        new SurfDescriptorExtractor(1000, 4, 2, false, true);
+            AdjusterAdapter::create("STAR"), 130, 150, 5));
+    Ptr<DescriptorExtractor> extractor(
+        new SurfDescriptorExtractor(1000, 4, 2, false, true));
     Ptr<DescriptorMatcher> matcher =
         DescriptorMatcher::create("FlannBased");
 
@@ -183,8 +183,8 @@ int main(int argc, char * argv[]) {
         endl;
     Ptr<of2::FabMap> fabmap;
 
-    fabmap = new of2::FabMap2(tree, 0.39, 0, of2::FabMap::SAMPLED |
-        of2::FabMap::CHOW_LIU);
+    fabmap.reset(new of2::FabMap2(tree, 0.39, 0, of2::FabMap::SAMPLED |
+        of2::FabMap::CHOW_LIU));
     fabmap->addTraining(trainData);
 
     vector<of2::IMatch> matches;
diff --git a/samples/cpp/generic_descriptor_match.cpp b/samples/cpp/generic_descriptor_match.cpp
index 888c24f7e..359f3c08e 100644
--- a/samples/cpp/generic_descriptor_match.cpp
+++ b/samples/cpp/generic_descriptor_match.cpp
@@ -33,7 +33,7 @@ int main(int argc, char** argv)
     std::string params_filename = std::string(argv[4]);
 
     Ptr<GenericDescriptorMatcher> descriptorMatcher = GenericDescriptorMatcher::create(alg_name, params_filename);
-    if( descriptorMatcher.empty() )
+    if( !descriptorMatcher )
     {
         printf ("Cannot create descriptor\n");
         return 0;
diff --git a/samples/cpp/image.cpp b/samples/cpp/image.cpp
index 806926b04..80f80c7af 100644
--- a/samples/cpp/image.cpp
+++ b/samples/cpp/image.cpp
@@ -31,8 +31,8 @@ int main( int argc, char** argv )
     help();
     const char* imagename = argc > 1 ? argv[1] : "lena.jpg";
 #if DEMO_MIXED_API_USE
-    Ptr<IplImage> iplimg = cvLoadImage(imagename); // Ptr<T> is safe ref-conting pointer class
-    if(iplimg.empty())
+    Ptr<IplImage> iplimg(cvLoadImage(imagename)); // Ptr<T> is safe ref-counting pointer class
+    if(!iplimg)
     {
         fprintf(stderr, "Can not load image %s\n", imagename);
         return -1;
diff --git a/samples/cpp/linemod.cpp b/samples/cpp/linemod.cpp
index 08d2a0035..4d11da36b 100644
--- a/samples/cpp/linemod.cpp
+++ b/samples/cpp/linemod.cpp
@@ -114,7 +114,7 @@ private:
 // Functions to store detector and templates in single XML/YAML file
 static cv::Ptr<cv::linemod::Detector> readLinemod(const std::string& filename)
 {
-  cv::Ptr<cv::linemod::Detector> detector = new cv::linemod::Detector;
+  cv::Ptr<cv::linemod::Detector> detector = cv::makePtr<cv::linemod::Detector>();
   cv::FileStorage fs(filename, cv::FileStorage::READ);
   detector->read(fs.root());
 
diff --git a/samples/cpp/matching_to_many_images.cpp b/samples/cpp/matching_to_many_images.cpp
index 7a346e3f4..152b40064 100644
--- a/samples/cpp/matching_to_many_images.cpp
+++ b/samples/cpp/matching_to_many_images.cpp
@@ -84,7 +84,7 @@ static bool createDetectorDescriptorMatcher( const string& detectorType, const s
     descriptorMatcher = DescriptorMatcher::create( matcherType );
     cout << ">" << endl;
 
-    bool isCreated = !( featureDetector.empty() || descriptorExtractor.empty() || descriptorMatcher.empty() );
+    bool isCreated = featureDetector && descriptorExtractor && descriptorMatcher;
     if( !isCreated )
         cout << "Can not create feature detector or descriptor extractor or descriptor matcher of given types." << endl << ">" << endl;
 
diff --git a/samples/cpp/stitching_detailed.cpp b/samples/cpp/stitching_detailed.cpp
index ecf19b494..a576816d6 100644
--- a/samples/cpp/stitching_detailed.cpp
+++ b/samples/cpp/stitching_detailed.cpp
@@ -358,14 +358,14 @@ int main(int argc, char* argv[])
     {
 #ifdef HAVE_OPENCV_NONFREE
         if (try_gpu && gpu::getCudaEnabledDeviceCount() > 0)
-            finder = new SurfFeaturesFinderGpu();
+            finder = makePtr<SurfFeaturesFinderGpu>();
         else
 #endif
-            finder = new SurfFeaturesFinder();
+            finder = makePtr<SurfFeaturesFinder>();
     }
     else if (features_type == "orb")
     {
-        finder = new OrbFeaturesFinder();
+        finder = makePtr<OrbFeaturesFinder>();
     }
     else
     {
@@ -484,8 +484,8 @@ int main(int argc, char* argv[])
     }
 
     Ptr<detail::BundleAdjusterBase> adjuster;
-    if (ba_cost_func == "reproj") adjuster = new detail::BundleAdjusterReproj();
-    else if (ba_cost_func == "ray") adjuster = new detail::BundleAdjusterRay();
+    if (ba_cost_func == "reproj") adjuster = makePtr<detail::BundleAdjusterReproj>();
+    else if (ba_cost_func == "ray") adjuster = makePtr<detail::BundleAdjusterRay>();
     else
     {
         cout << "Unknown bundle adjustment cost function: '" << ba_cost_func << "'.\n";
@@ -555,31 +555,49 @@ int main(int argc, char* argv[])
 #ifdef HAVE_OPENCV_GPUWARPING
     if (try_gpu && gpu::getCudaEnabledDeviceCount() > 0)
     {
-        if (warp_type == "plane") warper_creator = new cv::PlaneWarperGpu();
-        else if (warp_type == "cylindrical") warper_creator = new cv::CylindricalWarperGpu();
-        else if (warp_type == "spherical") warper_creator = new cv::SphericalWarperGpu();
+        if (warp_type == "plane")
+            warper_creator = makePtr<cv::PlaneWarperGpu>();
+        else if (warp_type == "cylindrical")
+            warper_creator = makePtr<cv::CylindricalWarperGpu>();
+        else if (warp_type == "spherical")
+            warper_creator = makePtr<cv::SphericalWarperGpu>();
     }
     else
 #endif
     {
-        if (warp_type == "plane") warper_creator = new cv::PlaneWarper();
-        else if (warp_type == "cylindrical") warper_creator = new cv::CylindricalWarper();
-        else if (warp_type == "spherical") warper_creator = new cv::SphericalWarper();
-        else if (warp_type == "fisheye") warper_creator = new cv::FisheyeWarper();
-        else if (warp_type == "stereographic") warper_creator = new cv::StereographicWarper();
-        else if (warp_type == "compressedPlaneA2B1") warper_creator = new cv::CompressedRectilinearWarper(2, 1);
-        else if (warp_type == "compressedPlaneA1.5B1") warper_creator = new cv::CompressedRectilinearWarper(1.5, 1);
-        else if (warp_type == "compressedPlanePortraitA2B1") warper_creator = new cv::CompressedRectilinearPortraitWarper(2, 1);
-        else if (warp_type == "compressedPlanePortraitA1.5B1") warper_creator = new cv::CompressedRectilinearPortraitWarper(1.5, 1);
-        else if (warp_type == "paniniA2B1") warper_creator = new cv::PaniniWarper(2, 1);
-        else if (warp_type == "paniniA1.5B1") warper_creator = new cv::PaniniWarper(1.5, 1);
-        else if (warp_type == "paniniPortraitA2B1") warper_creator = new cv::PaniniPortraitWarper(2, 1);
-        else if (warp_type == "paniniPortraitA1.5B1") warper_creator = new cv::PaniniPortraitWarper(1.5, 1);
-        else if (warp_type == "mercator") warper_creator = new cv::MercatorWarper();
-        else if (warp_type == "transverseMercator") warper_creator = new cv::TransverseMercatorWarper();
+        if (warp_type == "plane")
+            warper_creator = makePtr<cv::PlaneWarper>();
+        else if (warp_type == "cylindrical")
+            warper_creator = makePtr<cv::CylindricalWarper>();
+        else if (warp_type == "spherical")
+            warper_creator = makePtr<cv::SphericalWarper>();
+        else if (warp_type == "fisheye")
+            warper_creator = makePtr<cv::FisheyeWarper>();
+        else if (warp_type == "stereographic")
+            warper_creator = makePtr<cv::StereographicWarper>();
+        else if (warp_type == "compressedPlaneA2B1")
+            warper_creator = makePtr<cv::CompressedRectilinearWarper>(2.0f, 1.0f);
+        else if (warp_type == "compressedPlaneA1.5B1")
+            warper_creator = makePtr<cv::CompressedRectilinearWarper>(1.5f, 1.0f);
+        else if (warp_type == "compressedPlanePortraitA2B1")
+            warper_creator = makePtr<cv::CompressedRectilinearPortraitWarper>(2.0f, 1.0f);
+        else if (warp_type == "compressedPlanePortraitA1.5B1")
+            warper_creator = makePtr<cv::CompressedRectilinearPortraitWarper>(1.5f, 1.0f);
+        else if (warp_type == "paniniA2B1")
+            warper_creator = makePtr<cv::PaniniWarper>(2.0f, 1.0f);
+        else if (warp_type == "paniniA1.5B1")
+            warper_creator = makePtr<cv::PaniniWarper>(1.5f, 1.0f);
+        else if (warp_type == "paniniPortraitA2B1")
+            warper_creator = makePtr<cv::PaniniPortraitWarper>(2.0f, 1.0f);
+        else if (warp_type == "paniniPortraitA1.5B1")
+            warper_creator = makePtr<cv::PaniniPortraitWarper>(1.5f, 1.0f);
+        else if (warp_type == "mercator")
+            warper_creator = makePtr<cv::MercatorWarper>();
+        else if (warp_type == "transverseMercator")
+            warper_creator = makePtr<cv::TransverseMercatorWarper>();
     }
 
-    if (warper_creator.empty())
+    if (!warper_creator)
     {
         cout << "Can't create the following warper '" << warp_type << "'\n";
         return 1;
@@ -612,32 +630,32 @@ int main(int argc, char* argv[])
 
     Ptr<SeamFinder> seam_finder;
     if (seam_find_type == "no")
-        seam_finder = new detail::NoSeamFinder();
+        seam_finder = makePtr<detail::NoSeamFinder>();
     else if (seam_find_type == "voronoi")
-        seam_finder = new detail::VoronoiSeamFinder();
+        seam_finder = makePtr<detail::VoronoiSeamFinder>();
     else if (seam_find_type == "gc_color")
     {
 #ifdef HAVE_OPENCV_GPU
         if (try_gpu && gpu::getCudaEnabledDeviceCount() > 0)
-            seam_finder = new detail::GraphCutSeamFinderGpu(GraphCutSeamFinderBase::COST_COLOR);
+            seam_finder = makePtr<detail::GraphCutSeamFinderGpu>(GraphCutSeamFinderBase::COST_COLOR);
         else
 #endif
-            seam_finder = new detail::GraphCutSeamFinder(GraphCutSeamFinderBase::COST_COLOR);
+            seam_finder = makePtr<detail::GraphCutSeamFinder>(GraphCutSeamFinderBase::COST_COLOR);
     }
     else if (seam_find_type == "gc_colorgrad")
     {
 #ifdef HAVE_OPENCV_GPU
         if (try_gpu && gpu::getCudaEnabledDeviceCount() > 0)
-            seam_finder = new detail::GraphCutSeamFinderGpu(GraphCutSeamFinderBase::COST_COLOR_GRAD);
+            seam_finder = makePtr<detail::GraphCutSeamFinderGpu>(GraphCutSeamFinderBase::COST_COLOR_GRAD);
         else
 #endif
-            seam_finder = new detail::GraphCutSeamFinder(GraphCutSeamFinderBase::COST_COLOR_GRAD);
+            seam_finder = makePtr<detail::GraphCutSeamFinder>(GraphCutSeamFinderBase::COST_COLOR_GRAD);
     }
     else if (seam_find_type == "dp_color")
-        seam_finder = new detail::DpSeamFinder(DpSeamFinder::COLOR);
+        seam_finder = makePtr<detail::DpSeamFinder>(DpSeamFinder::COLOR);
     else if (seam_find_type == "dp_colorgrad")
-        seam_finder = new detail::DpSeamFinder(DpSeamFinder::COLOR_GRAD);
-    if (seam_finder.empty())
+        seam_finder = makePtr<detail::DpSeamFinder>(DpSeamFinder::COLOR_GRAD);
+    if (!seam_finder)
     {
         cout << "Can't create the following seam finder '" << seam_find_type << "'\n";
         return 1;
@@ -735,7 +753,7 @@ int main(int argc, char* argv[])
         resize(dilated_mask, seam_mask, mask_warped.size());
         mask_warped = seam_mask & mask_warped;
 
-        if (blender.empty())
+        if (!blender)
         {
             blender = Blender::createDefault(blend_type, try_gpu);
             Size dst_sz = resultRoi(corners, sizes).size();
@@ -744,13 +762,13 @@ int main(int argc, char* argv[])
                 blender = Blender::createDefault(Blender::NO, try_gpu);
             else if (blend_type == Blender::MULTI_BAND)
             {
-                MultiBandBlender* mb = dynamic_cast<MultiBandBlender*>(static_cast<Blender*>(blender));
+                MultiBandBlender* mb = dynamic_cast<MultiBandBlender*>(blender.get());
                 mb->setNumBands(static_cast<int>(ceil(log(blend_width)/log(2.)) - 1.));
                 LOGLN("Multi-band blender, number of bands: " << mb->numBands());
             }
             else if (blend_type == Blender::FEATHER)
             {
-                FeatherBlender* fb = dynamic_cast<FeatherBlender*>(static_cast<Blender*>(blender));
+                FeatherBlender* fb = dynamic_cast<FeatherBlender*>(blender.get());
                 fb->setSharpness(1.f/blend_width);
                 LOGLN("Feather blender, sharpness: " << fb->sharpness());
             }
diff --git a/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp b/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp
index 6c681d643..e13f2b696 100644
--- a/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp
+++ b/samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp
@@ -32,8 +32,8 @@ int main( int argc, char** argv )
     const char* imagename = argc > 1 ? argv[1] : "lena.jpg";
 
 #ifdef DEMO_MIXED_API_USE
-    Ptr<IplImage> IplI = cvLoadImage(imagename);      // Ptr<T> is safe ref-counting pointer class
-    if(IplI.empty())
+    Ptr<IplImage> IplI(cvLoadImage(imagename));      // Ptr<T> is a safe ref-counting pointer class
+    if(!IplI)
     {
         cerr << "Can not load image " <<  imagename << endl;
         return -1;
diff --git a/samples/cpp/video_homography.cpp b/samples/cpp/video_homography.cpp
index c8388007d..bf2559fba 100644
--- a/samples/cpp/video_homography.cpp
+++ b/samples/cpp/video_homography.cpp
@@ -152,7 +152,7 @@ int main(int ac, char ** av)
 
     Mat train_desc, query_desc;
     const int DESIRED_FTRS = 500;
-    GridAdaptedFeatureDetector detector(new FastFeatureDetector(10, true), DESIRED_FTRS, 4, 4);
+    GridAdaptedFeatureDetector detector(makePtr<FastFeatureDetector>(10, true), DESIRED_FTRS, 4, 4);
 
     Mat H_prev = Mat::eye(3, 3, CV_32FC1);
     for (;;)
diff --git a/samples/cpp/videostab.cpp b/samples/cpp/videostab.cpp
index 21606d495..01cdcf37f 100644
--- a/samples/cpp/videostab.cpp
+++ b/samples/cpp/videostab.cpp
@@ -193,7 +193,7 @@ public:
 
     virtual Ptr<ImageMotionEstimatorBase> build()
     {
-        MotionEstimatorRansacL2 *est = new MotionEstimatorRansacL2(motionModel(arg(prefix + "model")));
+        Ptr<MotionEstimatorRansacL2> est = makePtr<MotionEstimatorRansacL2>(motionModel(arg(prefix + "model")));
 
         RansacParams ransac = est->ransacParams();
         if (arg(prefix + "subset") != "auto")
@@ -205,10 +205,10 @@ public:
 
         est->setMinInlierRatio(argf(prefix + "min-inlier-ratio"));
 
-        Ptr<IOutlierRejector> outlierRejector = new NullOutlierRejector();
+        Ptr<IOutlierRejector> outlierRejector = makePtr<NullOutlierRejector>();
         if (arg(prefix + "local-outlier-rejection") == "yes")
         {
-            TranslationBasedLocalOutlierRejector *tblor = new TranslationBasedLocalOutlierRejector();
+            Ptr<TranslationBasedLocalOutlierRejector> tblor = makePtr<TranslationBasedLocalOutlierRejector>();
             RansacParams ransacParams = tblor->ransacParams();
             if (arg(prefix + "thresh") != "auto")
                 ransacParams.thresh = argf(prefix + "thresh");
@@ -219,14 +219,14 @@ public:
 #if defined(HAVE_OPENCV_GPUIMGPROC) && defined(HAVE_OPENCV_GPU) && defined(HAVE_OPENCV_GPUOPTFLOW)
         if (gpu)
         {
-            KeypointBasedMotionEstimatorGpu *kbest = new KeypointBasedMotionEstimatorGpu(est);
+            Ptr<KeypointBasedMotionEstimatorGpu> kbest = makePtr<KeypointBasedMotionEstimatorGpu>(est);
             kbest->setOutlierRejector(outlierRejector);
             return kbest;
         }
 #endif
 
-        KeypointBasedMotionEstimator *kbest = new KeypointBasedMotionEstimator(est);
-        kbest->setDetector(new GoodFeaturesToTrackDetector(argi(prefix + "nkps")));
+        Ptr<KeypointBasedMotionEstimator> kbest = makePtr<KeypointBasedMotionEstimator>(est);
+        kbest->setDetector(makePtr<GoodFeaturesToTrackDetector>(argi(prefix + "nkps")));
         kbest->setOutlierRejector(outlierRejector);
         return kbest;
     }
@@ -244,12 +244,12 @@ public:
 
     virtual Ptr<ImageMotionEstimatorBase> build()
     {
-        MotionEstimatorL1 *est = new MotionEstimatorL1(motionModel(arg(prefix + "model")));
+        Ptr<MotionEstimatorL1> est = makePtr<MotionEstimatorL1>(motionModel(arg(prefix + "model")));
 
-        Ptr<IOutlierRejector> outlierRejector = new NullOutlierRejector();
+        Ptr<IOutlierRejector> outlierRejector = makePtr<NullOutlierRejector>();
         if (arg(prefix + "local-outlier-rejection") == "yes")
         {
-            TranslationBasedLocalOutlierRejector *tblor = new TranslationBasedLocalOutlierRejector();
+            Ptr<TranslationBasedLocalOutlierRejector> tblor = makePtr<TranslationBasedLocalOutlierRejector>();
             RansacParams ransacParams = tblor->ransacParams();
             if (arg(prefix + "thresh") != "auto")
                 ransacParams.thresh = argf(prefix + "thresh");
@@ -260,14 +260,14 @@ public:
 #if defined(HAVE_OPENCV_GPUIMGPROC) && defined(HAVE_OPENCV_GPU) && defined(HAVE_OPENCV_GPUOPTFLOW)
         if (gpu)
         {
-            KeypointBasedMotionEstimatorGpu *kbest = new KeypointBasedMotionEstimatorGpu(est);
+            Ptr<KeypointBasedMotionEstimatorGpu> kbest = makePtr<KeypointBasedMotionEstimatorGpu>(est);
             kbest->setOutlierRejector(outlierRejector);
             return kbest;
         }
 #endif
 
-        KeypointBasedMotionEstimator *kbest = new KeypointBasedMotionEstimator(est);
-        kbest->setDetector(new GoodFeaturesToTrackDetector(argi(prefix + "nkps")));
+        Ptr<KeypointBasedMotionEstimator> kbest = makePtr<KeypointBasedMotionEstimator>(est);
+        kbest->setDetector(makePtr<GoodFeaturesToTrackDetector>(argi(prefix + "nkps")));
         kbest->setOutlierRejector(outlierRejector);
         return kbest;
     }
@@ -363,7 +363,7 @@ int main(int argc, const char **argv)
 
         // get source video parameters
 
-        VideoFileSource *source = new VideoFileSource(inputPath);
+        Ptr<VideoFileSource> source = makePtr<VideoFileSource>(inputPath);
         cout << "frame count (rough): " << source->count() << endl;
         if (arg("fps") == "auto")
             outputFps = source->fps();
@@ -374,15 +374,15 @@ int main(int argc, const char **argv)
 
         Ptr<IMotionEstimatorBuilder> motionEstBuilder;
         if (arg("lin-prog-motion-est") == "yes")
-            motionEstBuilder = new MotionEstimatorL1Builder(cmd, arg("gpu") == "yes");
+            motionEstBuilder.reset(new MotionEstimatorL1Builder(cmd, arg("gpu") == "yes"));
         else
-            motionEstBuilder = new MotionEstimatorRansacL2Builder(cmd, arg("gpu") == "yes");
+            motionEstBuilder.reset(new MotionEstimatorRansacL2Builder(cmd, arg("gpu") == "yes"));
 
         Ptr<IMotionEstimatorBuilder> wsMotionEstBuilder;
         if (arg("ws-lp") == "yes")
-            wsMotionEstBuilder = new MotionEstimatorL1Builder(cmd, arg("gpu") == "yes", "ws-");
+            wsMotionEstBuilder.reset(new MotionEstimatorL1Builder(cmd, arg("gpu") == "yes", "ws-"));
         else
-            wsMotionEstBuilder = new MotionEstimatorRansacL2Builder(cmd, arg("gpu") == "yes", "ws-");
+            wsMotionEstBuilder.reset(new MotionEstimatorRansacL2Builder(cmd, arg("gpu") == "yes", "ws-"));
 
         // determine whether we must use one pass or two pass stabilizer
         bool isTwoPass =
@@ -400,7 +400,7 @@ int main(int argc, const char **argv)
 
             if (arg("lin-prog-stab") == "yes")
             {
-                LpMotionStabilizer *stab = new LpMotionStabilizer();
+                Ptr<LpMotionStabilizer> stab = makePtr<LpMotionStabilizer>();
                 stab->setFrameSize(Size(source->width(), source->height()));
                 stab->setTrimRatio(arg("lps-trim-ratio") == "auto" ? argf("trim-ratio") : argf("lps-trim-ratio"));
                 stab->setWeight1(argf("lps-w1"));
@@ -410,18 +410,18 @@ int main(int argc, const char **argv)
                 twoPassStabilizer->setMotionStabilizer(stab);
             }
             else if (arg("stdev") == "auto")
-                twoPassStabilizer->setMotionStabilizer(new GaussianMotionFilter(argi("radius")));
+                twoPassStabilizer->setMotionStabilizer(makePtr<GaussianMotionFilter>(argi("radius")));
             else
-                twoPassStabilizer->setMotionStabilizer(new GaussianMotionFilter(argi("radius"), argf("stdev")));
+                twoPassStabilizer->setMotionStabilizer(makePtr<GaussianMotionFilter>(argi("radius"), argf("stdev")));
 
             // init wobble suppressor if necessary
 
             if (arg("wobble-suppress") == "yes")
             {
-                MoreAccurateMotionWobbleSuppressorBase *ws = new MoreAccurateMotionWobbleSuppressor();
+                Ptr<MoreAccurateMotionWobbleSuppressorBase> ws = makePtr<MoreAccurateMotionWobbleSuppressor>();
                 if (arg("gpu") == "yes")
 #ifdef HAVE_OPENCV_GPU
-                    ws = new MoreAccurateMotionWobbleSuppressorGpu();
+                    ws = makePtr<MoreAccurateMotionWobbleSuppressorGpu>();
 #else
                     throw runtime_error("OpenCV is built without GPU support");
 #endif
@@ -433,12 +433,12 @@ int main(int argc, const char **argv)
                 MotionModel model = ws->motionEstimator()->motionModel();
                 if (arg("load-motions2") != "no")
                 {
-                    ws->setMotionEstimator(new FromFileMotionReader(arg("load-motions2")));
+                    ws->setMotionEstimator(makePtr<FromFileMotionReader>(arg("load-motions2")));
                     ws->motionEstimator()->setMotionModel(model);
                 }
                 if (arg("save-motions2") != "no")
                 {
-                    ws->setMotionEstimator(new ToFileMotionWriter(arg("save-motions2"), ws->motionEstimator()));
+                    ws->setMotionEstimator(makePtr<ToFileMotionWriter>(arg("save-motions2"), ws->motionEstimator()));
                     ws->motionEstimator()->setMotionModel(model);
                 }
             }
@@ -450,26 +450,26 @@ int main(int argc, const char **argv)
             OnePassStabilizer *onePassStabilizer = new OnePassStabilizer();
             stabilizer = onePassStabilizer;
             if (arg("stdev") == "auto")
-                onePassStabilizer->setMotionFilter(new GaussianMotionFilter(argi("radius")));
+                onePassStabilizer->setMotionFilter(makePtr<GaussianMotionFilter>(argi("radius")));
             else
-                onePassStabilizer->setMotionFilter(new GaussianMotionFilter(argi("radius"), argf("stdev")));
+                onePassStabilizer->setMotionFilter(makePtr<GaussianMotionFilter>(argi("radius"), argf("stdev")));
         }
 
         stabilizer->setFrameSource(source);
         stabilizer->setMotionEstimator(motionEstBuilder->build());
 
         // cast stabilizer to simple frame source interface to read stabilized frames
-        stabilizedFrames = dynamic_cast<IFrameSource*>(stabilizer);
+        stabilizedFrames.reset(dynamic_cast<IFrameSource*>(stabilizer));
 
         MotionModel model = stabilizer->motionEstimator()->motionModel();
         if (arg("load-motions") != "no")
         {
-            stabilizer->setMotionEstimator(new FromFileMotionReader(arg("load-motions")));
+            stabilizer->setMotionEstimator(makePtr<FromFileMotionReader>(arg("load-motions")));
             stabilizer->motionEstimator()->setMotionModel(model);
         }
         if (arg("save-motions") != "no")
         {
-            stabilizer->setMotionEstimator(new ToFileMotionWriter(arg("save-motions"), stabilizer->motionEstimator()));
+            stabilizer->setMotionEstimator(makePtr<ToFileMotionWriter>(arg("save-motions"), stabilizer->motionEstimator()));
             stabilizer->motionEstimator()->setMotionModel(model);
         }
 
@@ -478,7 +478,7 @@ int main(int argc, const char **argv)
         // init deblurer
         if (arg("deblur") == "yes")
         {
-            WeightingDeblurer *deblurer = new WeightingDeblurer();
+            Ptr<WeightingDeblurer> deblurer = makePtr<WeightingDeblurer>();
             deblurer->setRadius(argi("radius"));
             deblurer->setSensitivity(argf("deblur-sens"));
             stabilizer->setDeblurer(deblurer);
@@ -503,22 +503,22 @@ int main(int argc, const char **argv)
         Ptr<InpainterBase> inpainters_(inpainters);
         if (arg("mosaic") == "yes")
         {
-            ConsistentMosaicInpainter *inp = new ConsistentMosaicInpainter();
+            Ptr<ConsistentMosaicInpainter> inp = makePtr<ConsistentMosaicInpainter>();
             inp->setStdevThresh(argf("mosaic-stdev"));
             inpainters->pushBack(inp);
         }
         if (arg("motion-inpaint") == "yes")
         {
-            MotionInpainter *inp = new MotionInpainter();
+            Ptr<MotionInpainter> inp = makePtr<MotionInpainter>();
             inp->setDistThreshold(argf("mi-dist-thresh"));
             inpainters->pushBack(inp);
         }
         if (arg("color-inpaint") == "average")
-            inpainters->pushBack(new ColorAverageInpainter());
+            inpainters->pushBack(makePtr<ColorAverageInpainter>());
         else if (arg("color-inpaint") == "ns")
-            inpainters->pushBack(new ColorInpainter(INPAINT_NS, argd("ci-radius")));
+            inpainters->pushBack(makePtr<ColorInpainter>(int(INPAINT_NS), argd("ci-radius")));
         else if (arg("color-inpaint") == "telea")
-            inpainters->pushBack(new ColorInpainter(INPAINT_TELEA, argd("ci-radius")));
+            inpainters->pushBack(makePtr<ColorInpainter>(int(INPAINT_TELEA), argd("ci-radius")));
         else if (arg("color-inpaint") != "no")
             throw runtime_error("unknown color inpainting method: " + arg("color-inpaint"));
         if (!inpainters->empty())
diff --git a/samples/gpu/performance/tests.cpp b/samples/gpu/performance/tests.cpp
index 136a4d52a..a3df43c6e 100644
--- a/samples/gpu/performance/tests.cpp
+++ b/samples/gpu/performance/tests.cpp
@@ -1261,7 +1261,7 @@ TEST(FarnebackOpticalFlow)
 
 namespace cv
 {
-    template<> void Ptr<CvBGStatModel>::delete_obj()
+    template<> void DefaultDeleter<CvBGStatModel>::operator ()(CvBGStatModel* obj) const
     {
         cvReleaseBGStatModel(&obj);
     }
diff --git a/samples/gpu/stereo_multi.cpp b/samples/gpu/stereo_multi.cpp
index 4ad8b2884..430e15bd7 100644
--- a/samples/gpu/stereo_multi.cpp
+++ b/samples/gpu/stereo_multi.cpp
@@ -291,11 +291,11 @@ StereoMultiGpuStream::StereoMultiGpuStream()
 {
     gpu::setDevice(0);
     d_algs[0] = gpu::createStereoBM(256);
-    streams[0] = new Stream;
+    streams[0] = makePtr<Stream>();
 
     gpu::setDevice(1);
     d_algs[1] = gpu::createStereoBM(256);
-    streams[1] = new Stream;
+    streams[1] = makePtr<Stream>();
 }
 
 StereoMultiGpuStream::~StereoMultiGpuStream()
diff --git a/samples/gpu/super_resolution.cpp b/samples/gpu/super_resolution.cpp
index 49b0a6332..e124b375e 100644
--- a/samples/gpu/super_resolution.cpp
+++ b/samples/gpu/super_resolution.cpp
@@ -53,7 +53,7 @@ static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name, bool useGpu)
     {
         cerr << "Incorrect Optical Flow algorithm - " << name << endl;
     }
-    return 0;
+    return Ptr<DenseOpticalFlowExt>();
 }
 #if defined(HAVE_OPENCV_OCL)
 static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name)
@@ -73,7 +73,7 @@ static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name)
     else if (name == "brox")
     {
         std::cout<<"brox has not been implemented!\n";
-        return NULL;
+        return Ptr<DenseOpticalFlowExt>();
     }
     else if (name == "pyrlk")
         return createOptFlow_PyrLK_OCL();
@@ -81,7 +81,7 @@ static Ptr<DenseOpticalFlowExt> createOptFlow(const string& name)
     {
         cerr << "Incorrect Optical Flow algorithm - " << name << endl;
     }
-    return 0;
+    return Ptr<DenseOpticalFlowExt>();
 }
 #endif
 int main(int argc, const char* argv[])
@@ -197,7 +197,7 @@ int main(int argc, const char* argv[])
             frameSource.release();
         }
     }
-    if (frameSource.empty())
+    if (!frameSource)
         frameSource = createFrameSource_Video(inputVideoName);
 
     // skip first frame, it is usually corrupted