Boring changes - calib3d.

modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst

@@ -515,7 +515,7 @@ findCirclesGrid
 -------------------
 Finds centers in the grid of circles.
 
-.. ocv:function:: bool findCirclesGrid( InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID, const Ptr<FeatureDetector> &blobDetector = new SimpleBlobDetector() )
+.. ocv:function:: bool findCirclesGrid( InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID, const Ptr<FeatureDetector> &blobDetector = makePtr<SimpleBlobDetector>() )
 
 .. ocv:pyfunction:: cv2.findCirclesGrid(image, patternSize[, centers[, flags[, blobDetector]]]) -> retval, centers
 

modules/calib3d/include/opencv2/calib3d.hpp

@@ -180,7 +180,7 @@ CV_EXPORTS_W void drawChessboardCorners( InputOutputArray image, Size patternSiz
 //! finds circles' grid pattern of the specified size in the image
 CV_EXPORTS_W bool findCirclesGrid( InputArray image, Size patternSize,
                                    OutputArray centers, int flags = CALIB_CB_SYMMETRIC_GRID,
-                                   const Ptr<FeatureDetector> &blobDetector = new SimpleBlobDetector());
+                                   const Ptr<FeatureDetector> &blobDetector = makePtr<SimpleBlobDetector>());
 
 //! finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern.
 CV_EXPORTS_W double calibrateCamera( InputArrayOfArrays objectPoints,

modules/calib3d/src/calibinit.cpp

@@ -271,8 +271,8 @@ int cvFindChessboardCorners( const void* arr, CvSize pattern_size,
     if( !out_corners )
         CV_Error( CV_StsNullPtr, "Null pointer to corners" );
 
-    storage = cvCreateMemStorage(0);
-    thresh_img = cvCreateMat( img->rows, img->cols, CV_8UC1 );
+    storage.reset(cvCreateMemStorage(0));
+    thresh_img.reset(cvCreateMat( img->rows, img->cols, CV_8UC1 ));
 
 #ifdef DEBUG_CHESSBOARD
     dbg_img = cvCreateImage(cvGetSize(img), IPL_DEPTH_8U, 3 );
@@ -284,7 +284,7 @@ int cvFindChessboardCorners( const void* arr, CvSize pattern_size,
     {
         // equalize the input image histogram -
         // that should make the contrast between "black" and "white" areas big enough
-        norm_img = cvCreateMat( img->rows, img->cols, CV_8UC1 );
+        norm_img.reset(cvCreateMat( img->rows, img->cols, CV_8UC1 ));
 
         if( CV_MAT_CN(img->type) != 1 )
         {
@@ -541,12 +541,12 @@ int cvFindChessboardCorners( const void* arr, CvSize pattern_size,
         cv::Ptr<CvMat> gray;
         if( CV_MAT_CN(img->type) != 1 )
         {
-            gray = cvCreateMat(img->rows, img->cols, CV_8UC1);
+            gray.reset(cvCreateMat(img->rows, img->cols, CV_8UC1));
             cvCvtColor(img, gray, CV_BGR2GRAY);
         }
         else
         {
-            gray = cvCloneMat(img);
+            gray.reset(cvCloneMat(img));
         }
         int wsize = 2;
         cvFindCornerSubPix( gray, out_corners, pattern_size.width*pattern_size.height,
@@ -627,7 +627,7 @@ icvOrderFoundConnectedQuads( int quad_count, CvCBQuad **quads,
         int *all_count, CvCBQuad **all_quads, CvCBCorner **corners,
         CvSize pattern_size, CvMemStorage* storage )
 {
-    cv::Ptr<CvMemStorage> temp_storage = cvCreateChildMemStorage( storage );
+    cv::Ptr<CvMemStorage> temp_storage(cvCreateChildMemStorage( storage ));
     CvSeq* stack = cvCreateSeq( 0, sizeof(*stack), sizeof(void*), temp_storage );
 
     // first find an interior quad
@@ -1109,7 +1109,7 @@ icvCleanFoundConnectedQuads( int quad_count, CvCBQuad **quad_group, CvSize patte
 
     // create an array of quadrangle centers
     cv::AutoBuffer<CvPoint2D32f> centers( quad_count );
-    cv::Ptr<CvMemStorage> temp_storage = cvCreateMemStorage(0);
+    cv::Ptr<CvMemStorage> temp_storage(cvCreateMemStorage(0));
 
     for( i = 0; i < quad_count; i++ )
     {
@@ -1205,7 +1205,7 @@ static int
 icvFindConnectedQuads( CvCBQuad *quad, int quad_count, CvCBQuad **out_group,
                        int group_idx, CvMemStorage* storage )
 {
-    cv::Ptr<CvMemStorage> temp_storage = cvCreateChildMemStorage( storage );
+    cv::Ptr<CvMemStorage> temp_storage(cvCreateChildMemStorage( storage ));
     CvSeq* stack = cvCreateSeq( 0, sizeof(*stack), sizeof(void*), temp_storage );
     int i, count = 0;
 
@@ -1674,7 +1674,7 @@ icvGenerateQuads( CvCBQuad **out_quads, CvCBCorner **out_corners,
     min_size = 25; //cvRound( image->cols * image->rows * .03 * 0.01 * 0.92 );
 
     // create temporary storage for contours and the sequence of pointers to found quadrangles
-    temp_storage = cvCreateChildMemStorage( storage );
+    temp_storage.reset(cvCreateChildMemStorage( storage ));
     root = cvCreateSeq( 0, sizeof(CvSeq), sizeof(CvSeq*), temp_storage );
 
     // initialize contour retrieving routine

modules/calib3d/src/calibration.cpp

@@ -568,7 +568,7 @@ CV_IMPL void cvProjectPoints2( const CvMat* objectPoints,
         (objectPoints->rows == count && CV_MAT_CN(objectPoints->type)*objectPoints->cols == 3) ||
         (objectPoints->rows == 3 && CV_MAT_CN(objectPoints->type) == 1 && objectPoints->cols == count)))
     {
-        matM = cvCreateMat( objectPoints->rows, objectPoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(objectPoints->type)) );
+        matM.reset(cvCreateMat( objectPoints->rows, objectPoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(objectPoints->type)) ));
         cvConvert(objectPoints, matM);
     }
     else
@@ -584,7 +584,7 @@ CV_IMPL void cvProjectPoints2( const CvMat* objectPoints,
         (imagePoints->rows == count && CV_MAT_CN(imagePoints->type)*imagePoints->cols == 2) ||
         (imagePoints->rows == 2 && CV_MAT_CN(imagePoints->type) == 1 && imagePoints->cols == count)))
     {
-        _m = cvCreateMat( imagePoints->rows, imagePoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(imagePoints->type)) );
+        _m.reset(cvCreateMat( imagePoints->rows, imagePoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(imagePoints->type)) ));
         cvConvert(imagePoints, _m);
     }
     else
@@ -664,10 +664,10 @@ CV_IMPL void cvProjectPoints2( const CvMat* objectPoints,
 
         if( CV_MAT_TYPE(dpdr->type) == CV_64FC1 )
         {
-            _dpdr = cvCloneMat(dpdr);
+            _dpdr.reset(cvCloneMat(dpdr));
         }
         else
-            _dpdr = cvCreateMat( 2*count, 3, CV_64FC1 );
+            _dpdr.reset(cvCreateMat( 2*count, 3, CV_64FC1 ));
         dpdr_p = _dpdr->data.db;
         dpdr_step = _dpdr->step/sizeof(dpdr_p[0]);
     }
@@ -682,10 +682,10 @@ CV_IMPL void cvProjectPoints2( const CvMat* objectPoints,
 
         if( CV_MAT_TYPE(dpdt->type) == CV_64FC1 )
         {
-            _dpdt = cvCloneMat(dpdt);
+            _dpdt.reset(cvCloneMat(dpdt));
         }
         else
-            _dpdt = cvCreateMat( 2*count, 3, CV_64FC1 );
+            _dpdt.reset(cvCreateMat( 2*count, 3, CV_64FC1 ));
         dpdt_p = _dpdt->data.db;
         dpdt_step = _dpdt->step/sizeof(dpdt_p[0]);
     }
@@ -699,10 +699,10 @@ CV_IMPL void cvProjectPoints2( const CvMat* objectPoints,
 
         if( CV_MAT_TYPE(dpdf->type) == CV_64FC1 )
         {
-            _dpdf = cvCloneMat(dpdf);
+            _dpdf.reset(cvCloneMat(dpdf));
         }
         else
-            _dpdf = cvCreateMat( 2*count, 2, CV_64FC1 );
+            _dpdf.reset(cvCreateMat( 2*count, 2, CV_64FC1 ));
         dpdf_p = _dpdf->data.db;
         dpdf_step = _dpdf->step/sizeof(dpdf_p[0]);
     }
@@ -716,10 +716,10 @@ CV_IMPL void cvProjectPoints2( const CvMat* objectPoints,
 
         if( CV_MAT_TYPE(dpdc->type) == CV_64FC1 )
         {
-            _dpdc = cvCloneMat(dpdc);
+            _dpdc.reset(cvCloneMat(dpdc));
         }
         else
-            _dpdc = cvCreateMat( 2*count, 2, CV_64FC1 );
+            _dpdc.reset(cvCreateMat( 2*count, 2, CV_64FC1 ));
         dpdc_p = _dpdc->data.db;
         dpdc_step = _dpdc->step/sizeof(dpdc_p[0]);
     }
@@ -736,10 +736,10 @@ CV_IMPL void cvProjectPoints2( const CvMat* objectPoints,
 
         if( CV_MAT_TYPE(dpdk->type) == CV_64FC1 )
         {
-            _dpdk = cvCloneMat(dpdk);
+            _dpdk.reset(cvCloneMat(dpdk));
         }
         else
-            _dpdk = cvCreateMat( dpdk->rows, dpdk->cols, CV_64FC1 );
+            _dpdk.reset(cvCreateMat( dpdk->rows, dpdk->cols, CV_64FC1 ));
         dpdk_p = _dpdk->data.db;
         dpdk_step = _dpdk->step/sizeof(dpdk_p[0]);
     }
@@ -950,8 +950,8 @@ CV_IMPL void cvFindExtrinsicCameraParams2( const CvMat* objectPoints,
         CV_IS_MAT(A) && CV_IS_MAT(rvec) && CV_IS_MAT(tvec) );
 
     count = MAX(objectPoints->cols, objectPoints->rows);
-    matM = cvCreateMat( 1, count, CV_64FC3 );
-    _m = cvCreateMat( 1, count, CV_64FC2 );
+    matM.reset(cvCreateMat( 1, count, CV_64FC3 ));
+    _m.reset(cvCreateMat( 1, count, CV_64FC2 ));
 
     cvConvertPointsHomogeneous( objectPoints, matM );
     cvConvertPointsHomogeneous( imagePoints, _m );
@@ -963,8 +963,8 @@ CV_IMPL void cvFindExtrinsicCameraParams2( const CvMat* objectPoints,
     CV_Assert( (CV_MAT_DEPTH(tvec->type) == CV_64F || CV_MAT_DEPTH(tvec->type) == CV_32F) &&
         (tvec->rows == 1 || tvec->cols == 1) && tvec->rows*tvec->cols*CV_MAT_CN(tvec->type) == 3 );
 
-    _mn = cvCreateMat( 1, count, CV_64FC2 );
-    _Mxy = cvCreateMat( 1, count, CV_64FC2 );
+    _mn.reset(cvCreateMat( 1, count, CV_64FC2 ));
+    _Mxy.reset(cvCreateMat( 1, count, CV_64FC2 ));
 
     // normalize image points
     // (unapply the intrinsic matrix transformation and distortion)
@@ -1055,7 +1055,7 @@ CV_IMPL void cvFindExtrinsicCameraParams2( const CvMat* objectPoints,
             CvPoint3D64f* M = (CvPoint3D64f*)matM->data.db;
             CvPoint2D64f* mn = (CvPoint2D64f*)_mn->data.db;
 
-            matL = cvCreateMat( 2*count, 12, CV_64F );
+            matL.reset(cvCreateMat( 2*count, 12, CV_64F ));
             L = matL->data.db;
 
             for( i = 0; i < count; i++, L += 24 )
@@ -1162,11 +1162,11 @@ CV_IMPL void cvInitIntrinsicParams2D( const CvMat* objectPoints,
     if( objectPoints->rows != 1 || imagePoints->rows != 1 )
         CV_Error( CV_StsBadSize, "object points and image points must be a single-row matrices" );
 
-    matA = cvCreateMat( 2*nimages, 2, CV_64F );
-    _b = cvCreateMat( 2*nimages, 1, CV_64F );
+    matA.reset(cvCreateMat( 2*nimages, 2, CV_64F ));
+    _b.reset(cvCreateMat( 2*nimages, 1, CV_64F ));
     a[2] = (imageSize.width - 1)*0.5;
     a[5] = (imageSize.height - 1)*0.5;
-    _allH = cvCreateMat( nimages, 9, CV_64F );
+    _allH.reset(cvCreateMat( nimages, 9, CV_64F ));
 
     // extract vanishing points in order to obtain initial value for the focal length
     for( i = 0, pos = 0; i < nimages; i++, pos += ni )
@@ -1310,16 +1310,16 @@ CV_IMPL double cvCalibrateCamera2( const CvMat* objectPoints,
         total += ni;
     }
 
-    matM = cvCreateMat( 1, total, CV_64FC3 );
-    _m = cvCreateMat( 1, total, CV_64FC2 );
+    matM.reset(cvCreateMat( 1, total, CV_64FC3 ));
+    _m.reset(cvCreateMat( 1, total, CV_64FC2 ));
 
     cvConvertPointsHomogeneous( objectPoints, matM );
     cvConvertPointsHomogeneous( imagePoints, _m );
 
     nparams = NINTRINSIC + nimages*6;
-    _Ji = cvCreateMat( maxPoints*2, NINTRINSIC, CV_64FC1 );
-    _Je = cvCreateMat( maxPoints*2, 6, CV_64FC1 );
-    _err = cvCreateMat( maxPoints*2, 1, CV_64FC1 );
+    _Ji.reset(cvCreateMat( maxPoints*2, NINTRINSIC, CV_64FC1 ));
+    _Je.reset(cvCreateMat( maxPoints*2, 6, CV_64FC1 ));
+    _err.reset(cvCreateMat( maxPoints*2, 1, CV_64FC1 ));
     cvZero( _Ji );
 
     _k = cvMat( distCoeffs->rows, distCoeffs->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(distCoeffs->type)), k);
@@ -1662,7 +1662,7 @@ double cvStereoCalibrate( const CvMat* _objectPoints, const CvMat* _imagePoints1
                CV_MAT_TYPE(_npoints->type) == CV_32SC1 );
 
     nimages = _npoints->cols + _npoints->rows - 1;
-    npoints = cvCreateMat( _npoints->rows, _npoints->cols, _npoints->type );
+    npoints.reset(cvCreateMat( _npoints->rows, _npoints->cols, _npoints->type ));
     cvCopy( _npoints, npoints );
 
     for( i = 0, pointsTotal = 0; i < nimages; i++ )
@@ -1671,8 +1671,8 @@ double cvStereoCalibrate( const CvMat* _objectPoints, const CvMat* _imagePoints1
         pointsTotal += npoints->data.i[i];
     }
 
-    objectPoints = cvCreateMat( _objectPoints->rows, _objectPoints->cols,
-                                CV_64FC(CV_MAT_CN(_objectPoints->type)));
+    objectPoints.reset(cvCreateMat( _objectPoints->rows, _objectPoints->cols,
+                                    CV_64FC(CV_MAT_CN(_objectPoints->type))));
     cvConvert( _objectPoints, objectPoints );
     cvReshape( objectPoints, objectPoints, 3, 1 );
 
@@ -1691,7 +1691,7 @@ double cvStereoCalibrate( const CvMat* _objectPoints, const CvMat* _imagePoints1
         K[k] = cvMat(3,3,CV_64F,A[k]);
         Dist[k] = cvMat(1,8,CV_64F,dk[k]);
 
-        imagePoints[k] = cvCreateMat( points->rows, points->cols, CV_64FC(CV_MAT_CN(points->type)));
+        imagePoints[k].reset(cvCreateMat( points->rows, points->cols, CV_64FC(CV_MAT_CN(points->type))));
         cvConvert( points, imagePoints[k] );
         cvReshape( imagePoints[k], imagePoints[k], 2, 1 );
 
@@ -1729,10 +1729,10 @@ double cvStereoCalibrate( const CvMat* _objectPoints, const CvMat* _imagePoints1
 
     recomputeIntrinsics = (flags & CV_CALIB_FIX_INTRINSIC) == 0;
 
-    err = cvCreateMat( maxPoints*2, 1, CV_64F );
-    Je = cvCreateMat( maxPoints*2, 6, CV_64F );
-    J_LR = cvCreateMat( maxPoints*2, 6, CV_64F );
-    Ji = cvCreateMat( maxPoints*2, NINTRINSIC, CV_64F );
+    err.reset(cvCreateMat( maxPoints*2, 1, CV_64F ));
+    Je.reset(cvCreateMat( maxPoints*2, 6, CV_64F ));
+    J_LR.reset(cvCreateMat( maxPoints*2, 6, CV_64F ));
+    Ji.reset(cvCreateMat( maxPoints*2, NINTRINSIC, CV_64F ));
     cvZero( Ji );
 
     // we optimize for the inter-camera R(3),t(3), then, optionally,
@@ -1740,7 +1740,7 @@ double cvStereoCalibrate( const CvMat* _objectPoints, const CvMat* _imagePoints1
     nparams = 6*(nimages+1) + (recomputeIntrinsics ? NINTRINSIC*2 : 0);
 
     // storage for initial [om(R){i}|t{i}] (in order to compute the median for each component)
-    RT0 = cvCreateMat( 6, nimages, CV_64F );
+    RT0.reset(cvCreateMat( 6, nimages, CV_64F ));
 
     solver.init( nparams, 0, termCrit );
     if( recomputeIntrinsics )
@@ -2080,7 +2080,7 @@ icvGetRectangles( const CvMat* cameraMatrix, const CvMat* distCoeffs,
 {
     const int N = 9;
     int x, y, k;
-    cv::Ptr<CvMat> _pts = cvCreateMat(1, N*N, CV_32FC2);
+    cv::Ptr<CvMat> _pts(cvCreateMat(1, N*N, CV_32FC2));
     CvPoint2D32f* pts = (CvPoint2D32f*)(_pts->data.ptr);
 
     for( y = k = 0; y < N; y++ )
@@ -2439,10 +2439,10 @@ CV_IMPL int cvStereoRectifyUncalibrated(
 
     npoints = _points1->rows * _points1->cols * CV_MAT_CN(_points1->type) / 2;
 
-    _m1 = cvCreateMat( _points1->rows, _points1->cols, CV_64FC(CV_MAT_CN(_points1->type)) );
-    _m2 = cvCreateMat( _points2->rows, _points2->cols, CV_64FC(CV_MAT_CN(_points2->type)) );
-    _lines1 = cvCreateMat( 1, npoints, CV_64FC3 );
-    _lines2 = cvCreateMat( 1, npoints, CV_64FC3 );
+    _m1.reset(cvCreateMat( _points1->rows, _points1->cols, CV_64FC(CV_MAT_CN(_points1->type)) ));
+    _m2.reset(cvCreateMat( _points2->rows, _points2->cols, CV_64FC(CV_MAT_CN(_points2->type)) ));
+    _lines1.reset(cvCreateMat( 1, npoints, CV_64FC3 ));
+    _lines2.reset(cvCreateMat( 1, npoints, CV_64FC3 ));
 
     cvConvert( F0, &F );
 

modules/calib3d/src/compat_ptsetreg.cpp

@@ -53,7 +53,6 @@ using cv::Ptr;
 
 CvLevMarq::CvLevMarq()
 {
-    mask = prevParam = param = J = err = JtJ = JtJN = JtErr = JtJV = JtJW = Ptr<CvMat>();
     lambdaLg10 = 0; state = DONE;
     criteria = cvTermCriteria(0,0,0);
     iters = 0;
@@ -62,7 +61,6 @@ CvLevMarq::CvLevMarq()
 
 CvLevMarq::CvLevMarq( int nparams, int nerrs, CvTermCriteria criteria0, bool _completeSymmFlag )
 {
-    mask = prevParam = param = J = err = JtJ = JtJN = JtErr = JtJV = JtJW = Ptr<CvMat>();
     init(nparams, nerrs, criteria0, _completeSymmFlag);
 }
 
@@ -89,19 +87,19 @@ void CvLevMarq::init( int nparams, int nerrs, CvTermCriteria criteria0, bool _co
 {
     if( !param || param->rows != nparams || nerrs != (err ? err->rows : 0) )
         clear();
-    mask = cvCreateMat( nparams, 1, CV_8U );
+    mask.reset(cvCreateMat( nparams, 1, CV_8U ));
     cvSet(mask, cvScalarAll(1));
-    prevParam = cvCreateMat( nparams, 1, CV_64F );
-    param = cvCreateMat( nparams, 1, CV_64F );
-    JtJ = cvCreateMat( nparams, nparams, CV_64F );
-    JtJN = cvCreateMat( nparams, nparams, CV_64F );
-    JtJV = cvCreateMat( nparams, nparams, CV_64F );
-    JtJW = cvCreateMat( nparams, 1, CV_64F );
-    JtErr = cvCreateMat( nparams, 1, CV_64F );
+    prevParam.reset(cvCreateMat( nparams, 1, CV_64F ));
+    param.reset(cvCreateMat( nparams, 1, CV_64F ));
+    JtJ.reset(cvCreateMat( nparams, nparams, CV_64F ));
+    JtJN.reset(cvCreateMat( nparams, nparams, CV_64F ));
+    JtJV.reset(cvCreateMat( nparams, nparams, CV_64F ));
+    JtJW.reset(cvCreateMat( nparams, 1, CV_64F ));
+    JtErr.reset(cvCreateMat( nparams, 1, CV_64F ));
     if( nerrs > 0 )
     {
-        J = cvCreateMat( nerrs, nparams, CV_64F );
-        err = cvCreateMat( nerrs, 1, CV_64F );
+        J.reset(cvCreateMat( nerrs, nparams, CV_64F ));
+        err.reset(cvCreateMat( nerrs, 1, CV_64F ));
     }
     prevErrNorm = DBL_MAX;
     lambdaLg10 = -3;
@@ -196,7 +194,7 @@ bool CvLevMarq::updateAlt( const CvMat*& _param, CvMat*& _JtJ, CvMat*& _JtErr, d
 {
     double change;
 
-    CV_Assert( err.empty() );
+    CV_Assert( !err );
     if( state == DONE )
     {
         _param = param;

modules/calib3d/src/five-point.cpp

@@ -436,9 +436,9 @@ cv::Mat cv::findEssentialMat( InputArray _points1, InputArray _points2, double f
 
     Mat E;
     if( method == RANSAC )
-        createRANSACPointSetRegistrator(new EMEstimatorCallback, 5, threshold, prob)->run(points1, points2, E, _mask);
+        createRANSACPointSetRegistrator(makePtr<EMEstimatorCallback>(), 5, threshold, prob)->run(points1, points2, E, _mask);
     else
-        createLMeDSPointSetRegistrator(new EMEstimatorCallback, 5, prob)->run(points1, points2, E, _mask);
+        createLMeDSPointSetRegistrator(makePtr<EMEstimatorCallback>(), 5, prob)->run(points1, points2, E, _mask);
 
     return E;
 }

modules/calib3d/src/fundam.cpp

@@ -307,7 +307,7 @@ cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
     if( ransacReprojThreshold <= 0 )
         ransacReprojThreshold = defaultRANSACReprojThreshold;
 
-    Ptr<PointSetRegistrator::Callback> cb = new HomographyEstimatorCallback;
+    Ptr<PointSetRegistrator::Callback> cb = makePtr<HomographyEstimatorCallback>();
 
     if( method == 0 || npoints == 4 )
     {
@@ -334,7 +334,7 @@ cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
             if( method == RANSAC || method == LMEDS )
                 cb->runKernel( src, dst, H );
             Mat H8(8, 1, CV_64F, H.ptr<double>());
-            createLMSolver(new HomographyRefineCallback(src, dst), 10)->run(H8);
+            createLMSolver(makePtr<HomographyRefineCallback>(src, dst), 10)->run(H8);
         }
     }
 
@@ -686,7 +686,7 @@ cv::Mat cv::findFundamentalMat( InputArray _points1, InputArray _points2,
     if( npoints < 7 )
         return Mat();
 
-    Ptr<PointSetRegistrator::Callback> cb = new FMEstimatorCallback;
+    Ptr<PointSetRegistrator::Callback> cb = makePtr<FMEstimatorCallback>();
     int result;
 
     if( npoints == 7 || method == FM_8POINT )

modules/calib3d/src/levmarq.cpp

@@ -95,7 +95,7 @@ public:
         int ptype = param0.type();
 
         CV_Assert( (param0.cols == 1 || param0.rows == 1) && (ptype == CV_32F || ptype == CV_64F));
-        CV_Assert( !cb.empty() );
+        CV_Assert( cb );
 
         int lx = param0.rows + param0.cols - 1;
         param0.convertTo(x, CV_64F);
@@ -220,7 +220,7 @@ CV_INIT_ALGORITHM(LMSolverImpl, "LMSolver",
 Ptr<LMSolver> createLMSolver(const Ptr<LMSolver::Callback>& cb, int maxIters)
 {
     CV_Assert( !LMSolverImpl_info_auto.name().empty() );
-    return new LMSolverImpl(cb, maxIters);
+    return makePtr<LMSolverImpl>(cb, maxIters);
 }
 
 }

modules/calib3d/src/ptsetreg.cpp

@@ -171,7 +171,7 @@ public:
 
         RNG rng((uint64)-1);
 
-        CV_Assert( !cb.empty() );
+        CV_Assert( cb );
         CV_Assert( confidence > 0 && confidence < 1 );
 
         CV_Assert( count >= 0 && count2 == count );
@@ -288,7 +288,7 @@ public:
 
         RNG rng((uint64)-1);
 
-        CV_Assert( !cb.empty() );
+        CV_Assert( cb );
         CV_Assert( confidence > 0 && confidence < 1 );
 
         CV_Assert( count >= 0 && count2 == count );
@@ -397,7 +397,8 @@ Ptr<PointSetRegistrator> createRANSACPointSetRegistrator(const Ptr<PointSetRegis
                                                          double _confidence, int _maxIters)
 {
     CV_Assert( !RANSACPointSetRegistrator_info_auto.name().empty() );
-    return new RANSACPointSetRegistrator(_cb, _modelPoints, _threshold, _confidence, _maxIters);
+    return Ptr<PointSetRegistrator>(
+        new RANSACPointSetRegistrator(_cb, _modelPoints, _threshold, _confidence, _maxIters));
 }
 
 
@@ -405,7 +406,8 @@ Ptr<PointSetRegistrator> createLMeDSPointSetRegistrator(const Ptr<PointSetRegist
                              int _modelPoints, double _confidence, int _maxIters)
 {
     CV_Assert( !LMeDSPointSetRegistrator_info_auto.name().empty() );
-    return new LMeDSPointSetRegistrator(_cb, _modelPoints, _confidence, _maxIters);
+    return Ptr<PointSetRegistrator>(
+        new LMeDSPointSetRegistrator(_cb, _modelPoints, _confidence, _maxIters));
 }
 
 class Affine3DEstimatorCallback : public PointSetRegistrator::Callback
@@ -532,5 +534,5 @@ int cv::estimateAffine3D(InputArray _from, InputArray _to,
     param1 = param1 <= 0 ? 3 : param1;
     param2 = (param2 < epsilon) ? 0.99 : (param2 > 1 - epsilon) ? 0.99 : param2;
 
-    return createRANSACPointSetRegistrator(new Affine3DEstimatorCallback, 4, param1, param2)->run(dFrom, dTo, _out, _inliers);
+    return createRANSACPointSetRegistrator(makePtr<Affine3DEstimatorCallback>(), 4, param1, param2)->run(dFrom, dTo, _out, _inliers);
 }

modules/calib3d/src/stereobm.cpp

@@ -991,7 +991,7 @@ const char* StereoBMImpl::name_ = "StereoMatcher.BM";
 
 cv::Ptr<cv::StereoBM> cv::createStereoBM(int _numDisparities, int _SADWindowSize)
 {
-    return new StereoBMImpl(_numDisparities, _SADWindowSize);
+    return makePtr<StereoBMImpl>(_numDisparities, _SADWindowSize);
 }
 
 /* End of file. */

modules/calib3d/src/stereosgbm.cpp

@@ -947,11 +947,12 @@ Ptr<StereoSGBM> createStereoSGBM(int minDisparity, int numDisparities, int SADWi
                                  int speckleWindowSize, int speckleRange,
                                  int mode)
 {
-    return new StereoSGBMImpl(minDisparity, numDisparities, SADWindowSize,
-                              P1, P2, disp12MaxDiff,
-                              preFilterCap, uniquenessRatio,
-                              speckleWindowSize, speckleRange,
-                              mode);
+    return Ptr<StereoSGBM>(
+        new StereoSGBMImpl(minDisparity, numDisparities, SADWindowSize,
+                           P1, P2, disp12MaxDiff,
+                           preFilterCap, uniquenessRatio,
+                           speckleWindowSize, speckleRange,
+                           mode));
 }
 
 Rect getValidDisparityROI( Rect roi1, Rect roi2,

modules/calib3d/src/triangulate.cpp

@@ -240,32 +240,32 @@ cvCorrectMatches(CvMat *F_, CvMat *points1_, CvMat *points2_, CvMat *new_points1
     }
 
     // Make sure F uses double precision
-    F = cvCreateMat(3,3,CV_64FC1);
+    F.reset(cvCreateMat(3,3,CV_64FC1));
     cvConvert(F_, F);
 
     // Make sure points1 uses double precision
-    points1 = cvCreateMat(points1_->rows,points1_->cols,CV_64FC2);
+    points1.reset(cvCreateMat(points1_->rows,points1_->cols,CV_64FC2));
     cvConvert(points1_, points1);
 
     // Make sure points2 uses double precision
-    points2 = cvCreateMat(points2_->rows,points2_->cols,CV_64FC2);
+    points2.reset(cvCreateMat(points2_->rows,points2_->cols,CV_64FC2));
     cvConvert(points2_, points2);
 
-    tmp33 = cvCreateMat(3,3,CV_64FC1);
-    tmp31 = cvCreateMat(3,1,CV_64FC1), tmp31_2 = cvCreateMat(3,1,CV_64FC1);
-    T1i = cvCreateMat(3,3,CV_64FC1), T2i = cvCreateMat(3,3,CV_64FC1);
-    R1 = cvCreateMat(3,3,CV_64FC1), R2 = cvCreateMat(3,3,CV_64FC1);
-    TFT = cvCreateMat(3,3,CV_64FC1), TFTt = cvCreateMat(3,3,CV_64FC1), RTFTR = cvCreateMat(3,3,CV_64FC1);
-    U = cvCreateMat(3,3,CV_64FC1);
-    S = cvCreateMat(3,3,CV_64FC1);
-    V = cvCreateMat(3,3,CV_64FC1);
-    e1 = cvCreateMat(3,1,CV_64FC1), e2 = cvCreateMat(3,1,CV_64FC1);
+    tmp33.reset(cvCreateMat(3,3,CV_64FC1));
+    tmp31.reset(cvCreateMat(3,1,CV_64FC1)), tmp31_2.reset(cvCreateMat(3,1,CV_64FC1));
+    T1i.reset(cvCreateMat(3,3,CV_64FC1)), T2i.reset(cvCreateMat(3,3,CV_64FC1));
+    R1.reset(cvCreateMat(3,3,CV_64FC1)), R2.reset(cvCreateMat(3,3,CV_64FC1));
+    TFT.reset(cvCreateMat(3,3,CV_64FC1)), TFTt.reset(cvCreateMat(3,3,CV_64FC1)), RTFTR.reset(cvCreateMat(3,3,CV_64FC1));
+    U.reset(cvCreateMat(3,3,CV_64FC1));
+    S.reset(cvCreateMat(3,3,CV_64FC1));
+    V.reset(cvCreateMat(3,3,CV_64FC1));
+    e1.reset(cvCreateMat(3,1,CV_64FC1)), e2.reset(cvCreateMat(3,1,CV_64FC1));
 
     double x1, y1, x2, y2;
     double scale;
     double f1, f2, a, b, c, d;
-    polynomial = cvCreateMat(1,7,CV_64FC1);
-    result = cvCreateMat(1,6,CV_64FC2);
+    polynomial.reset(cvCreateMat(1,7,CV_64FC1));
+    result.reset(cvCreateMat(1,6,CV_64FC2));
     double t_min, s_val, t, s;
     for (int p = 0; p < points1->cols; ++p) {
         // Replace F by T2-t * F * T1-t